Privileged Access Management Support Engineer

The suitable candidate will join a team of engineers and operations specialists in the support of the privileged access management infrastructure and operations. He/She will be responsible for the end to end design, deployment, operations and development of the bank’s privileged access management framework, infrastructure and processes.

Key responsibilities

• Drive the automation and integration of privileged access management infrastructure to other systems to achieve straight through processing and reduce manual work.
• Provide on-going operations support including management reporting and operations dashboards relating to the governance oversight of privileged accounts and passwords.

Requirements

• 5+ Years of CyberArk Experience: Demonstrated expertise in the deployment, configuration, management, and support of CyberArk infrastructure components. Proven ability to provide regional support and integrate CyberArk solutions via APIs. CyberArk certifications are preferred to validate knowledge and skills.
• Scripting and Reporting: Proficient in writing PowerShell scripts and SQL statements to develop comprehensive management reports focused on the usage and operational management of privileged accounts. This includes automating reporting processes and ensuring accurate data presentation for stakeholders.
• Data Visualization: Experienced with Grafana for creating data visualizations and dashboards, enabling real-time insights into access management and security posture. Skilled at translating complex data sets into understandable visual formats for better decision-making.
• Privileged Access Management: Strong understanding of enterprise privileged access management principles, encompassing risk management, compliance, governance, and control. Ability to develop and enforce policies that mitigate risks associated with privileged access.
• Audit Experience: Extensive experience in responding to audit queries and preparing detailed reports related to access management. Skilled in analyzing audit findings and implementing corrective actions to address compliance gaps. Proven ability to collaborate with internal and external auditors to ensure all necessary documentation is accurate and readily available.
• Remediation Expertise: Extensive experience in remediating CyberArk failed objects to ensure that auto-managed objects comply with security policies and standards. This includes troubleshooting and resolving issues to maintain operational integrity and compliance.
• Technical Platform Knowledge: In-depth knowledge of key operating systems and databases, including Windows, Unix, MSSQL, and MariaDB. Previous experience in administering these platforms enhances ability to manage and secure privileged accounts effectively.
• Banking Environment Experience: Familiarity with working in a banking or financial services environment, understanding the unique regulatory and security requirements involved. This background supports effective implementation of access management solutions tailored to industry standards.
• Educational Background: Bachelor’s degree in Computer Science, Information Systems, or Engineering (or a related field). Alternatively, a combination of relevant professional experience and CyberArk certifications is also acceptable, demonstrating a solid foundation in security practices.

Interested candidates may apply through the application system. We regret to inform only Shortlisted candidates will be notified.

EA License No. 01C4394 • RCB No. 200007268E •Derrick Tiew Yong Han EA Registration No. R1877971

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Xiaomi Corporation was founded in April 2010 and listed on the Main Board of the Hong Kong Stock Exchange on July 9, 2018. Xiaomi is a consumer electronics and smart manufacturing company with smartphones and smart hardware connected by an IoT platform at its core.

Embracing our vision of “Make friends with users and be the coolest company in the users’ hearts”, Xiaomi continuously pursues innovations, high-quality user experience and operational efficiency. The company relentlessly builds amazing products with honest prices to let everyone in the world enjoy a better life through innovative technology.

Xiaomi is one of the world's leading smartphone companies. The company’s market share in terms of smartphone shipments ranked no. 2 globally in the second quarter of 2021. The company has also established the world’s leading consumer AIoT (AI+IoT) platform, with 374.5 million smart devices connected to its platform (excluding smartphones and laptops) as of 31 March 31, 2021, excluding smartphones and laptops. Xiaomi products are present in more than 100 countries and regions around the world.

Job Description

Key Responsibilities:

1. Construction of data warehouses, development and maintenance of data services for Xiaomi's overseas Internet business.
2. Design a reasonable multidimensional data analysis system architecture for massive data processing and query needs, adaptable to changes in business, to meet a variety of requirements.
3. Clean and process massive logs, and abstract reusable data models for multiple businesses.

Job Requirements

1. Bachelor’s degree or above in a computer-related field.
2. Familiar with common relational and non-relational databases, distributed storage, and capable of selecting appropriate storage components based on requirements.
3. Knowledge of big data processing frameworks such as Spark and Flink, and preference for those who understand the concept of streaming processing.
4. Possess good problem analysis and solving skills, strong learning ability, and logical thinking.

BIPO Service (Singapore) Pte. Ltd.

EA License No. : 18S9180

• Knowledge on Internet Technologies (i.e. routing, switching and general network infrastructure), and technologies associated with the ISP market
• Possess robust analytical and problem-solving abilities, with a talent for addressing technical and operational challenges
• Skilled in network operations and maintenance, enthusiastic about offering troubleshooting assistance.
• Preference for IT audit experience or certification in CISA/CISM, operational risk management, self-assessment of control, prior implementation of security solutions, and information security governance experience.
• Enterprise Data Network (administration, patching, upgrade and migration activities), Design, Preparing of HLD/LLD, Implementation Team leading, Service Level management, demand, incident, change management.
• Cisco/Aruba Networking and Wireless LAN.
• DDI, AAA/Cisco Identity Services Engine
• Python & Ansible for Automating Networks
• As Built, LLD, Testing & Acceptance Testing Documentation Skills
• ZScaler & Network Security
• Certification: Comparable to CCNP/CCDA
• Meraki, Palo alto, f5 loadbalancer, UTP
• Provide network WAN/LAN design, implementation, consulting, Cisco, Aruba, Juniper
• Conduct a network audit to pinpoint any deficiencies and propose appropriate solutions. Assisting with RFP/RFI reply.
• Experience in running operations with ITIL processes / Project Management - PMP

We Are

YouTrip is at the forefront of Asia's financial revolution, defining the future of digital finance with its leading multi-currency payment platform. Launched in 2018, YouTrip has swiftly ascended as a powerhouse, orchestrating billions in transactions annually and securing the trust of millions. With innovative solutions like YouTrip for consumers and YouBiz for businesses, we offer unmatched financial ease and cost-effectiveness. Fresh off a successful US$50 million Series B funding round led by Lightspeed Venture, we're setting new benchmarks in the digital financial services sector.

At the heart of our mission is a commitment to eliminate financial borders across Asia, propelling us into the next wave of digital finance.

Job Description: DevOps Engineer

As a DevOps Engineer, you will be responsible for bridging the gap between development and our AWS based infrastructure, ensuring the seamless integration of these two critical functions. Your role is pivotal in enhancing our software delivery processes and maintaining a reliable infrastructure. You will work at the intersection of technology, collaborating with development teams to streamline the deployment, delivery, and management of software products. Your contributions will directly impact our ability to deliver high-quality software to our users efficiently.

Responsibilities:

• Design, implement, and maintain cloud infrastructure solutions on AWS, leveraging best practices for scalability, reliability, and security.
• Lead the adoption and implementation of AWS services and features to optimize infrastructure performance, cost efficiency, and operational excellence.
• Configure and manage AWS services such as EC2, S3, RDS, Lambda, ECS, and EKS to support the deployment and operation of containerized applications and microservices.
• Develop and maintain infrastructure as code (IaC) using tools such Terraform to provision and manage AWS resources in a repeatable and automated manner.
• Implement monitoring, logging, and alerting solutions to ensure the health and performance of cloud-based applications and services.
• Collaborate with development teams to optimize application architecture and performance for cloud environments, providing guidance on cloud-native design principles and best practices.
• Lead incident response and troubleshooting efforts for AWS infrastructure and services, identifying root causes and implementing preventive measures to minimize downtime and impact on operations.
• Stay current with AWS services, features, and updates, evaluating new technologies and tools to drive innovation and improve operational efficiency.

Requirements:

• 1 -3 years of experience in a DevOps/Cloud Engineering, experience designing, deploying and managing AWS based infrastructure
• AWS Certification such as AWS Certified DevOps Engineer, AWS Certified Solutions Architect or AWS Certified SysOps Administrator would be an added advantage
• Experience with CI/CD tools such as Jenkins, CircleCI, or GitLab CI/CD.
• Experience in infrastructure provisioning tools like Terraform.
• Good knowledge of AWS services including EC2, S3, RDS, Lambda, ECS, EKS, VPC, IAM, CloudWatch, and CloudTrail.
• Ability to thrive in a fast-paced, agile environment, with a passion for learning and staying current with emerging technologies and best practices in cloud computing and DevOps.
• Commitment to security best practices and compliance standards, with experience implementing and maintaining security controls in AWS environments.

TikTok will be prioritizing applicants who have a current right to work in Singapore and do not require TikTok's sponsorship of a visa.

About TikTok

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About The Team

The TikTok Data Ecosystem Team has the vital role of crafting and implementing a storage solution for offline data in TikTok's recommendation system, which caters to more than a billion users. Their primary objectives are to guarantee system reliability, uninterrupted service, and seamless performance. They aim to create a storage and computing infrastructure that can adapt to various data sources within the recommendation system, accommodating diverse storage needs. Their ultimate goal is to deliver efficient, affordable data storage with easy-to-use data management tools for the recommendation, search, and advertising functions.

What you will be doing:

1. Design and implement an offline/real-time data architecture for large-scale recommendation systems.

2. Design and implement a flexible, scalable, stable, and high-performance storage system and computation model.

3. Troubleshoot production systems, and design and implement necessary mechanisms and tools to ensure the overall stability of production systems.

4. Build industry-leading distributed systems such as offline and online storage, batch, and stream processing frameworks, providing reliable infrastructure for massive data and large-scale business systems.

Qualifications

What you should have:

- Bachelor's Degree or above, majoring in Computer Science, or related fields, with 1+ years of experience building scalable systems;

- Proficiency in common big data processing systems like Spark/Flink at the source code level is required, with a preference for experience in customizing or extending these systems;

- A deep understanding of the source code of at least one data lake technology, such as Hudi, Iceberg, or DeltaLake, is highly valuable and should be prominently showcased in your resume, especially if you have practical implementation or customisation experience;

- Knowledge of HDFS principles is expected, and familiarity with columnar storage formats like Parquet/ORC is an additional advantage;

- Prior experience in data warehousing modeling;

- Proficiency in programming languages such as Java, C++, and Scala is essential, along with strong coding skills and the ability to troubleshoot effectively;

- Experience with other big data systems/frameworks like Hive, HBase, or Kudu is a plus;

- A willingness to tackle challenging problems without clear solutions, a strong enthusiasm for learning new technologies, and prior experience in managing large-scale data (in the petabyte range) are all advantageous qualities.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok will be prioritizing applicants who have a current right to work in Singapore and do not require TikTok's sponsorship of a visa.

About TikTok

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About The Team

The TikTok Data Ecosystem Team has the vital role of crafting and implementing a storage solution for offline data in TikTok's recommendation system, which caters to more than a billion users. Their primary objectives are to guarantee system reliability, uninterrupted service, and seamless performance. They aim to create a storage and computing infrastructure that can adapt to various data sources within the recommendation system, accommodating diverse storage needs. Their ultimate goal is to deliver efficient, affordable data storage with easy-to-use data management tools for the recommendation, search, and advertising functions.

What you will be doing:

1. Design and implement an offline/real-time data architecture for large-scale recommendation systems.

2. Design and implement a flexible, scalable, stable, and high-performance storage system and computation model.

3. Troubleshoot production systems, and design and implement necessary mechanisms and tools to ensure the overall stability of production systems.

4. Build industry-leading distributed systems such as offline and online storage, batch, and stream processing frameworks, providing reliable infrastructure for massive data and large-scale business systems.

Qualifications

What you should have:

- Bachelor's Degree or above, majoring in Computer Science, or related fields, with 3+ years of experience building scalable systems;

- Proficiency in common big data processing systems like Spark/Flink at the source code level is required, with a preference for experience in customizing or extending these systems;

- A deep understanding of the source code of at least one data lake technology, such as Hudi, Iceberg, or DeltaLake, is highly valuable and should be prominently showcased in your resume, especially if you have practical implementation or customisation experience;

- Knowledge of HDFS principles is expected, and familiarity with columnar storage formats like Parquet/ORC is an additional advantage;

- Prior experience in data warehousing modeling;

- Proficiency in programming languages such as Java, C++, and Scala is essential, along with strong coding skills and the ability to troubleshoot effectively;

- Experience with other big data systems/frameworks like Hive, HBase, or Kudu is a plus;

- A willingness to tackle challenging problems without clear solutions, a strong enthusiasm for learning new technologies, and prior experience in managing large-scale data (in the petabyte range) are all advantageous qualities.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the team

Our team works on large-scale recommendation systems for various offerings under TikTok and its affiliates, focusing on developing recommendation algorithms/models/strategies. We are committed to developing cutting-edge solutions for e-commerce recommendation systems.

Responsibilities

- Work on recommendation systems, involving contents of various forms ranging from products, short videos to live streams, with each unified recommendation model fulfilling heterogeneous E-commerce scenarios/goals across multiple countries.

- Optimize e-commerce recommendation models at massive scales, using deep learning/transfer learning/multi-task learning techniques.

- Data mining and analysis to improve the quality of recommended contents.

- Conduct research on various topics, which aim to optimize content recommendation circulation, ranging from ensuring diversity and new discovery in recommendation contents, to cold-start problem for new users/items and discovery of high-quality products/live streamers.

- Develop innovative and state-of-the-art e-commerce models and algorithms

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.

- Work with the relevant software platforms in which the models are deployed

Qualifications

Minimum Requirements

- Bachelor's degree or higher in Computer Science or related fields with at least 5 years of relevant hands-on experience and 2+ years of team management experience.

- Strong in data structures and algorithms, with excellent problem-solving ability and programming skills

- Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks etc.

- Experience in working with main components of recommendation systems(recall, sort, reranking, cold-start problem), with good understanding of mainstream recommendation models used in the industry

- Experience in C++ and Python; at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch)

- Leading a team of at least 5 Possess strong communication skills, positive mindset, good teamwork skills, and eagerness to learn/implement new technology and experiment

Preferred Qualifications

- Experience in personalized recommendation, online advertising, information retrieval or related fields.

- Publications at KDD、NeurIPS、WWW、SIGIR、WSDM、CIKM、ICLR、ICML、IJCAI、AAAI、RecSys and related conferences

- Excellent performance in data mining, machine learning, or ACM-ICPC/NOI/IOI competitions

- Developed widely-recognized machine learning project(s) on github or personal webpage

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

The TikTok E-commerce Recommendation and Marketing Algorithm team is responsible for algorithm and big data work on e-commerce innovation projects. Leveraging on our products, the team helps users discover and acquire great products, enriching their lives. In this team, we not only use recommendation and search algorithms to help users find items they are interested in but also employ risk control algorithms and intelligent platform governance algorithms to detect violations, ensuring a secure shopping experience. We build intelligent customer service technologies and large-scale product knowledge graphs to improve the efficiency of various transaction processes. Furthermore, we develop logistics and operations research algorithms to enhance supply chain efficiency, and we apply artificial intelligence to help merchants improve their operational capabilities. Our mission: To make high-quality products easily accessible, enabling everyone to enjoy a better life.

Responsibilities

- Participate in optimizing TikTok e-commerce growth and marketing algorithms, including core capabilities such as user value modelling, personalized messaging, recommendations, and intelligent marketing.

- Establish a user lifecycle data and value system to address core pain points and business challenges related to TikTok Mall user growth.

- Contribute to the implementation of product and technical solutions for user growth engines, such as personalized push notifications/emails, recommendation handling, etc., to increase e-commerce DAU and penetration rates.

- Optimize algorithms related to recall/sorting for new user recommendations, improving the relevance of traffic source handling and the accuracy and diversity of new user recommendations.

- Optimize intelligent marketing algorithms, utilizing uplift models and operations research methods to improve marketing efficiency and drive e-commerce GMV growth.

Qualifications

Minimum Qualifications

- Bachelor's degree or higher in Computer Science, Computer Engineering, Mathematics or related technical discipline

- Experience in C++ and Python; at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch)

- Strong foundation in algorithms and data structures, with excellent coding skills.

- Strong learning ability, curiosity, and good communication and teamwork skills.

Preferred Qualifications

- Candidates who have published papers in top AI conferences/journals or achieved notable results in ACM/Machine Learning competitions

- Experience in recommendation systems, advertising, user growth, intelligent marketing, or related fields, with expertise in LTV estimation, uplift modelling, operations research, sequence modelling, or multi-scenario modelling optimization is a plus.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Company's Profile
Julian Grey’s client is a global semiconductor equipment provider, specializing in inspection solutions for various industries. They have offices in APAC and are seeking motivated individuals to join their growing team.

Responsibilities

• Create software solutions for automated Computer Vision Equipment.
• Develop software for GUIs, manage large datasets, and implement multi-threaded programming.
• Design and implement Image Processing and Computer Vision Algorithms, contributing to the Software Development Life Cycle.

Requirements

• Skilled in Visual Studio programming and proficient in C++.
• Expertise in vision inspection, computer vision, and image processing.
• Familiarity with C# and experience in Deep Learning for Defect Classification are advantageous

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants

Please WA Justine @ 9755 9161

Shortlisted candidates will be notified

Justine Lam Nyok Yuen

Reg No. R1218722

Julian Grey Corporate Advisory Pte. Ltd.

EA License No: 19C9568

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the team

Our Search Architecture Team is responsible for building up and optimizing the architecture for our Search Engine to provide the best experience for our TikTok Shop Search users.

This person will be responsible for the design and development of the global e-commerce search system architecture, ensuring system stability and high availability; responsible for online services, offline data flow performance optimization, solving performance bottlenecks, reducing costs and unlocking.

Responsibilities

-Responsible for the global e-commerce search system of TikTok and its affiliated products, and solve the architecture optimization problem of the search architecture system;

-Support the design and development of the global e-commerce search system , and the output core search capabilities of bytes and high-quality content to partners;

-Focus on Architecture abstraction and process optimization for search scenarios, support large-scale machine learning optimization;

-Focus on large-scale systems with high concurrency and high throughput, improve system stability, performance, and scalability;

-Research and development and optimization of core components, application and implementation of new technologies;

-Research, design, and develop computer and network software or specialised utility programs;

-Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis;

-Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures;

-Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Qualifications

Minimum Qualifications

- Bachelor's degree or above, majoring in Computer Science, or related fields;

- Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Golang;

- Solid programming ability, excellent design and code style, enthusiastic about technical challenges;

- Effective communication skills and a sense of ownership and drive;

- Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and enrich life. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the team

Our Search Architecture Team is responsible for building up and optimizing the architecture for our Search Engine to provide the most stable and best experience for our TikTok Shop Search users.

This person will be responsible for the design and development of the global e-commerce search system architecture, ensuring system stability and high availability; responsible for online services, offline data flow performance optimization, solving performance bottlenecks, reducing costs and unlocking.

Responsibilities

-Responsible for the global e-commerce search system of TikTok and its affiliated products, and solve the architecture optimization problem of the search architecture system;

-Support the design and development of the global e-commerce search system , and the output core search capabilities of bytes and high-quality content to partners;

-Focus on Architecture abstraction and process optimization for search scenarios, support large-scale machine learning optimization;

-Focus on large-scale systems with high concurrency and high throughput, improve system stability, performance, and scalability;

-Research and development and optimization of core components, application and implementation of new technologies;

-Research, design, and develop computer and network software or specialised utility programs;

-Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis;

-Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures;

-Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Qualifications

Minimum Qualifications

-Bachelor's degree or above, majoring in Computer Science, or related fields, with 3+ years of experience building scalable systems;

-Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Golang;

-Solid programming ability, excellent design and code style, enthusiastic about technical challenges;

-Effective communication skills and a sense of ownership and drive;

-Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. Our E-commerce Recommendation Infra team is responsible for building up and optimizing the infrastructure for such recommendation systems, so as to provide the best experience for our users. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis . We encourage you to apply early.

Responsibilities

- Design and implement a reasonable offline data architecture for large-scale recommendation systems

- Design and implement flexible, scalable, and high-performance storage and computing systems

- Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system

- Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software

- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets

- Visualise, interpret, and report data findings and may create data reports as well

Qualifications

Minimum qualifications:

- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, Electrical Engineering or a related technical discipline.

- Familiar with many open source frameworks in the field of big data, e.g.Hadoop, Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc.

- Familiar with Java, C ++ and other programming languages

- Strong coding and trouble shooting ability

Preferred Qualification:

- Agile, quick self learner, highly self-motivated with strong sense of product ownership and creative problem solver.

- Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected].

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. Our E-ecommerce Recommendation Infra team is responsible for building up and optimizing the infrastructure for such recommendation systems, so as to provide the best experience for our users. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Build and maintain high performance online services for TikTok recommendation system；

- Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc;

- Build globalized large-scale recommendation system;

- Design and develop high performance computing frameworks and storage systems.

- Research, design, and develop computer and network software or specialised utility programs.

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Qualifications

Minimum Qualifications:

- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, Electrical Engineering or a related technical discipline.

- Experience programming in at least one of the following programming languages: C, C++, Java or Golang;

- Effective communication skills and a sense of ownership and drive;

- Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.

Preferred Qualifications:

- Agile, quick self learner, highly self-motivated with strong sense of product ownership and creative problem solver.

- Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment.

- Experience in e-commerce related areas

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected].

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About The Team

TikTok's Recommendation Architecture Team is responsible for real-time computing direction, handling the design and development of real-time computing systems for TikTok videos, live streams, e-commerce, and a billion-user product recommendation system. Their main focus is ensuring system stability and high availability. They abstract general real-time computing systems, build a unified recommendation feature middleware, and implement a flexible and scalable high-performance storage system and computing model. This enables advanced real-time data systems for deduplication, counting, feature services, and other recommendation-related business needs.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Design and implement real-time (streaming computing) data systems for large-scale recommendation systems.

- Create flexible, scalable, stable, and high-performance storage systems and computing models.

- Troubleshoot production system failures, design and implement necessary mechanisms and tools to ensure overall stability of the production systems

- Construct industry-leading streaming computing frameworks and other distributed systems to provide reliable infrastructure for massive data and large-scale business systems

- Research, design, and develop computer and network software or specialised utility programs.

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Qualifications

Minimum Requirements

- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline

- Strong coding and troubleshooting skills; Proficient in programming languages like Java, C++, Scala, Python.

- Deep understanding of streaming computing systems, with formal production experience in developing TB-level Flink real-time computing systems. Proficient in modules like FlinkDataStream, FlinkSQL, FlinkCheckpoint, FlinkState, and preferably with experience in reading Flink source code.

- Experience in data lake development is preferred. Familiar with at least one data lake technology such as Hudi, Iceberg, DeltaLake, and preferably with experience in reading their source code.

- Willingness to tackle problems without clear answers, with a strong passion for learning new technologies.

- Familiarity with other big data systems is preferred, including YARN, K8S, Spark, SparkSQL, Kudu, and others.

- Experience in storage systems such as Hbase, Cassandra, RocksDB.

Preferred Qualifications

- Experience in handling PB-level data is a plus.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected]

Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Job description

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

Additional job description

Work with Security Sales and Google Cloud teams to identify and qualify business opportunities, understand customer technical and compliance objections, and develop strategies to resolve technical blockers.

Qualifications

Job responsibilities

• Partner closely with Small- and Medium business (SMB) and Field Sales Engineering, Inside Sales, and Sales Development teams to identify and technically qualify opportunities.
• Drive technical aspects of solutions, including customer meetings, product demonstrations, and executive briefings.
• Leverage in-depth knowledge of Google Cloud Security products to build integrations, proofs-of-concept, and compelling demos for customers and partners.
• Effectively convey the value proposition of Google Cloud Security solutions through presentations, product demonstrations, white papers, trial management, and response documents.
• Travel to customer sites, conferences, and relevant events to represent the technical capabilities of Google Cloud Security as required.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 6 years of experience in a technical sales engineering role in security or cloud native environments.
• Experience in cybersecurity technical solutions: SIEM/SOAR (EDR, XDR), Threat Intelligence (threat detection, malware intelligence, attack surface management), Cloud Security (CSPM, CWPP, CNAPP, or identity and access management systems).
• Experience in selling security consulting services.

Preferred qualifications

• Master's degree in Computer Science, Engineering, or Mathematics.
• Cloud or Security industry certifications.
• Experience in implementing security solutions for enterprises (e.g., SIEM/SOAR, threat detection and hunting, malware intelligence, cloud security posture management, or identity and access management systems).
• Knowledge of product and solution market trends in the cybersecurity industry.
• Understanding of solution architecture within web and mobile environments and of web/internet related technologies, architecture across SAAS, PAAS and IAAS and cloud productivity suites.
• Familiarity with architecture and operational aspects of large scale distributed systems. Familiarity with the popular technologies in the machine learning/big data ecosystem.

• Marine Service Engineer
• Office location : Boon Lay Way
• Working Location: On board ship
• Working days: 5 days (Mon- Friday)
• Working hours : 8am - 5pm
• Salary : $2,000-$2,800 basic + OT + Allowances (Gross Salary $3,000 - $4,000)

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Job Description

• Conduct periodic inspections, repair, service and maintenance of marine equipment to ensure reliable
  operation.
• Collaborate with clients and superintendents to deliver quality services efficiently.
• Generate reports and present findings to relevant personnel.
• Provide remote troubleshooting support through emails, ensuring customer issues are resolved promptly to maintain high satisfaction levels.
  
  Requirements:
• Diploma in Engineering or equivalent (Electrical/Electronics/Mechanical/Mechatronics).

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited in applying large scale machine learning to solve various real-world problems in E-commerce.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok.

- Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.

- Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.

- Design and build supporting/debugging tools as needed.

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm

- Work with the relevant software platforms in which the models are deployed

Qualifications

Minimum Qualifications

- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline

- Strong programming and problem-solving ability.

- Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc.

- Experience in Deep Learning Tools such as tensorflow/pytorch.

- Experience with at least one programming language like C++/Python or equivalent.

Preferred Qualifications

- Experience in recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.

- Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected].

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

The TikTok E-commerce Recommendation and Marketing Algorithm team is responsible for algorithm and big data work on e-commerce innovation projects. Leveraging on our products, the team helps users discover and acquire great products, enriching their lives. In this team, we not only use recommendation and search algorithms to help users find items they are interested in but also employ risk control algorithms and intelligent platform governance algorithms to detect violations, ensuring a secure shopping experience. We build intelligent customer service technologies and large-scale product knowledge graphs to improve the efficiency of various transaction processes. Furthermore, we develop logistics and operations research algorithms to enhance supply chain efficiency, and we apply artificial intelligence to help merchants improve their operational capabilities. Our mission: To make high-quality products easily accessible, enabling everyone to enjoy a better life.

Responsibilities

- Participate in optimizing TikTok e-commerce growth and marketing algorithms, including core capabilities such as user value modelling, personalized messaging, recommendations, and intelligent marketing.

- Establish a user lifecycle data and value system to address core pain points and business challenges related to TikTok Mall user growth.

- Contribute to the implementation of product and technical solutions for user growth engines, such as personalized push notifications/emails, recommendation handling, etc., to increase e-commerce DAU and penetration rates.

- Optimize algorithms related to recall/sorting for new user recommendations, improving the relevance of traffic source handling and the accuracy and diversity of new user recommendations.

- Optimize intelligent marketing algorithms, utilizing uplift models and operations research methods to improve marketing efficiency and drive e-commerce GMV growth.

Qualifications

Minimum Qualifications

- Bachelor's degree or higher in Computer Science, Computer Engineering, Mathematics or related technical discipline.

- Experience in C++ and Python; at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch).

- Strong foundation in algorithms and data structures, with excellent coding skills.

- Strong learning ability, curiosity, and good communication and teamwork skills.

- At least 3 years of relevant experience in user growth or intelligent marketing.

Preferred Qualifications

- Candidates who have published papers in top AI conferences/journals or achieved notable results in ACM/Machine Learning competitions

- Experience in recommendation systems, advertising, user growth, intelligent marketing, or related fields, with expertise in LTV estimation, uplift modelling, operations research, sequence modelling, or multi-scenario modelling optimization is a plus.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Position title : Vision Software Engineer

Location: Admiralty
Working Days: 5 Day A Week
Working hours : 9:00am - 6:00pm
Salary : $5000 - $8000 (depends experience)

Interested applicants can also send your resume to WA:+65 8839 3566 (Ms Angel) and allow our Consultant to match you with our Clients.

No Charges will be incurred by Candidates for any service rendered.

LIEW ONN KEE REG NO : R22108518

THE SUPREME HR ADVISORY EA NO:14C7279

Job Summary:

We are seeking an experienced Software Engineer to join our team, responsible for
designing, developing, and maintaining software applications for vision systems.

Responsibilities:

• Design and develop PC based automated visual inspection systems for our full range of semiconductor equipment.
• Evaluate and feasibility study on the customer’s vision specifications.
• Responsible to integrate any new vision hardware (camera, frame grabber, etc) onto the vision software.
• Troubleshooting and improve the processing time of the inspection.
• Provide technical support to internal and external customers to fulfill the inspection requirements. Change the vision inspection algorithm to improve the inspection capabilities and its performance.
• Be the key driver for continuous improvement plans for new and existing inspection capabilities.
• Coordinate with customer for any new enquiry with sale personnel if needed.
• Work closely with the vision application and optics team members to produce the best inspection result.
• Build and nurture a culture in engineering organization of harmony, quality, ownership, collaboration, continuous improvement and data-driven decision making.

Requirements:

• BS Science Diploma or higher in electrical and electronic, mechanical, or mechatronics engineering or related technical discipline or equivalent practical.
• Technical troubleshooting experience.
• Minimum 3 years in related field.
• Relevant technical work experience including automation machine system troubleshooting.
• Experience working with end customers.
• Understanding semi-conductor manufacturing process, vision inspection settings, machine software settings and configuration or equivalent practical experience.
• At least 3+ years of experience in software development with C#, WPF, Image Processing , Halcon (bonus)

• Salary : SGD3,000 - SGD 6,000 + Commission
• Working hours: Monday - Friday 830am to 6pm
• Location: Woodlands

Job Responsibilities

• Develop close working relationship with customers championing products.
• Identify niche market segments locally, create market awareness, new product positioning and launch, develop and implement effective marketing programs with the timely support to penetrate, expand and accelerate business growth.
• Understand market trends, competitions, local market culture/customer expectations in order to achieve the organizations’ goals.
• Liaise with management and on various matters – develop jointly common marketing goals/strategies, share marketing information, obtain courses information

Job requirements

• With relevant experience, preferable with Semiconductor industry
• Cert /Nitec / Diploma in engineering background
• Possess own transportation is an added advantage

Interested applicants can email your CV to [email protected] or whatsapp to +65 89249206

The Supreme HR Advisory Pte. Ltd || 14C7279

Chua Jie Ying (Cai Jie Ying), Evelynn || EA Personnel License R24120580

Gantry Associate Engineer (2 years contract renewable)

4 days, 12 hrs rotating shift from 7-7; first few months permanent night shift from 8.30pm-6am

Currently the 4 days shift is spread from Monday to Saturday, 2 days off. Sunday is rotating standby.

Salary: $2700 -$3000

Location: Bedok office

Interested applicants can also send your resume to WA:+65 8839 3566 (Ms Angel) and allow our Consultant to match you with our Clients.

No Charges will be incurred by Candidates for any service rendered.

LIEW ONN KEE REG NO : R22108518

THE SUPREME HR ADVISORY EA NO:14C7279

Job scope:

• To perform comprehensive maintenance for system
• To perform site supervision and hands on when required..
• To perform troubleshooting and devise resolution when issues or faults arises.
• To communicate/supervise contractors on safety and work related tasks.
• To execute job related tasks assigned by Engineer/Shift Engineer.
• To complete reports for jobs done.

Requirements:

• Diploma in Mechatronics, Electrical or Electronics
• Willing to work at height (6 meters) on outdoor public road on gantries.
• Experience in electrical and electronic works.
• Class 3 driving license is required
• Experience in basic Microsoft office.
• Understand basic Window system.
• Experience in site supervision work.
• Understand in Mechanical/Electrical/Electronic system
• Able to work in 12 hours rotating shift, first few months will be permanent night shifts

Marine Senior Service Engineer

• Working Location: Boon Lay
• Working Days: Monday – Friday
• Working Hours: 8:30am - 5:15pm
• Salary range: SGD 3,700 to SGD 5,000 monthly, 13th month, SGD 250 transport allowance

Specific Responsibilities

• Standby support and 24/7 emergency call for customer support.
• Providing after-sales technical support, site recovery and maintenance responsibilities to distributors/end customers.
• Provide the installation, commissioning and on-site training to support the customers according to the scope of the project.
• Generate a service report to customer in a systematic manner.
• Investigate and handle all customers’ complaints related to product failures.
• Investigates root causes of failures and recommend solutions.
• Review and assist in determining the extend of damage and repairs of warranty claims from distributors.
• Maintain close working relationship with our key customers to ensure the follow through until the issue is resolved.
• Develop service training material, ensures all technical and training documents are up-to-date and organized.
• Provides specific training to distributors and dealers for service and troubleshooting skillsets, ensuring optimum service level at all distributors.

Qualifications / Requirements

• Diploma/degree in Electrical/Mechanical Engineering with at least 5 years of relevant experience
• This position requires fair amount of traveling in the Asia Pacific and Southeast Asia Region
• Possess strong customer service orientation, enthusiasm for power generation products, electrical and control system
• Candidates with equivalent professional background will be considered
• Prior electrical and control experience with various control system (John Deere ECU and KDI ECU) and synchronization system will be advantageous

Interested Personal kindly contact WhatsApp :+65 8833 7969(Lydia)

OR

Email to : [email protected]

The Supreme HR Advisory Pte Ltd

Reg No: R1988890

EA No: 14C7279

Location: Tuas (Company pick up available - West & North)

Salary: $3,000 - $4,000 + OT + AWS + Performance bonus

Working days: Monday - Friday

Working hours: 8:30am – 4.30pm

Job Description:

• Product delivery training to distributors and customer
• Provide diagnosis guidance and analysing of fault found to Distributor / End-user, remotely via emails and/or calls
• Carry out field services at site in local and ASEAN countries.
• Furnish service report and recommendation of spare parts, assisting Parts team to locate correct spare parts from parts catalogue.
• Furnish Warranty claims and Quality report to drive quality improvement on our products.
• Willingness to work beyond office hours if required and any other ad-hoc duties assigned from time to time.

Requirements:

• Diploma and/or certificates in Engineering with relevant working experience in construction machinery industry
• Able to read and understand Electrical, Hydraulic and Pneumatic schematic diagram
• Possess valid Class 3 Driving License

Interested applicants can email your CV to [email protected] or whatsapp to +65 89249206

The Supreme HR Advisory Pte. Ltd || 14C7279

Chua Jie Ying (Cai Jie Ying), Evelynn || EA Personnel License R24120580

• Location: Tuas View Circuit Company Transport / Transport Allowance ($120) if possess own transport
• Monday to Friday (8am to 5pm)
• Basic: $3800 to $4300 + site allowances
• Responsible for developing and implementing process strategies, managing process resources, optimizing current processes, and maintaining process documents.

Job Specifications:

• At least a Bachelor in Chemical Engineering
• Min 1 years of process industry experience
• Strong working knowledge of process related standards, Process Improvement
• and Safety Management

Responsibilities:

• Analyze and evaluate existing processes, take measurements and interpret data including SCADA system operations (in line with company towards digitalization)
• Perform risk assessments
• Research, design, and develop processes to optimize productivity and workflow
• Oversee operations and maintenance of facility processes
• Determine the organization and setup of operations
• Oversee implementation of new processes and procedures
• Investigate and troubleshoot any problems that arise with processes, procedures, and operations
• Develop best practices, routines and innovative solutions to improve throughput and quality of output
• Manage cost and time constraints
• Provide process documentation and operating instructions
• Involve and perform PSM and Hazop study
• Become turn key manager to plan and execute plant shutdown
• To undertake any other assignment given by the Management from time to time.

If you are interested to apply, kindly WhatsApp me your updated resume in DOC file and allow our Consultant to match you with our Clients.

Whatsapp: +65 8525 2419

Email: [email protected]

Tan Man Ee Reg No: R22108289

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Electrical and Computer Engineering (ECE) Department of National University of Singapore (NUS) is looking for applicants for research engineer positions to support 3D-IC package fault localisation and failure analysis (FA) techniques with ANSYS High Frequency Structure Simulator (HFSS). The applicant will work closely with our researchers to understand and derive insights from scientific experiments and data. The applicant will also assist in the design and development of a physical test vehicle for the measurement of simulated results.

Responsibilities will include:

1. Contribute to defect classification and localization through simulation defect modelling.
2. Involve in 3D-IC forward predictive modelling (i.e. include chip and circuit blocks) by generating training materials.
3. Design of mock IC test vehicles for high frequency electromagnetic and DC magnetic field measurement and testing.

Qualifications

• A bachelor’s or higher Degree in Electrical, Electronics, Mechanical, Chemical Engineering, Physics, Material Science or its equivalent from a reputable University/Institute is preferred, or equivalent related experience.
• Candidate with experience in microelectronic research, characterisation, metrology, electrical testing, FA and strong in data analysis will have advantage. Knowledge of AI/ML/DL development and ANSYS/TCAD modelling.
• Strong analytical and problem-solving skills.
• Motivated and possesses effective communication skills including writing and presenting.
• Ability to work independently and collaborate within a diverse team.
• Open to Fixed Term Contract.