Total 239 design engineer job vacancies in Maintenance / Repair category in outram park central singapore

Will be part of Operation & Support Team to support Project implementation and Maintenance.

The key responsibilities are as below:

Job Description:

Project:

• Support Project Team in Project implementation
• System setup, configuration and testing
• Perform any other duties as assigned.

Maintenance:

• Perform CUAS Preventive and Corrective maintenance works at restricted Areas.
• Provide support services in operation exercise.
• Perform functional check and/or repair on testers and unit under Test.
• Perform any other duties as assigned.

Requirements:

• NITEC / Higher NITEC / Diploma in Mechanical, Electronics or Computer Engineering
• Fresh graduate are welcome to apply
• Experience in Electronics, PCB-related, electrical & networking would be advantageous
• Able to work over the weekend and standby for fault call if required
• Able to interpret schematics, technical manual and drawings for maintenance works.
• Ability to use analytical skills and a "hands-on" person.
• Good interpersonal skills, proactive and work well with others.
• Possess class 3 driving license will be advantageous.

Interested candidates can click on 'Apply' or send updated resume to [email protected]

We are regret that only shortlisted candidates will be notify

Job Summary

We are looking for an experienced MLDevOps Engineer to develop and prototype innovative AI solutions aimed at enhancing software development productivity. This role will focus on creating rapid prototypes, developing MVPs, and integrating AI into the software delivery pipeline, with a specific emphasis on code generation, quality assurance, test automation, and continuous delivery. The ideal candidate will have expertise in both MLOps and AI experimentation, with a focus on improving developer workflows and overall software development efficiency.Key Responsibilities

AI Use Case Development and Prototyping

• Rapidly design, prototype, and iterate AI-driven solutions that support developer workflows such as code specification, generation, and test automation.
• Collaborate with product and DevSecOps teams to identify and prioritize AI use cases that enhance software development efficiency.
• Lead proof-of-concept (PoC) initiatives, transforming experimental AI ideas into scalable solutions.
• Implement automation to streamline the development pipeline, including auto-code generation, static code analysis, and error detection.
• Integrate automation tools to boost developer productivity, streamline testing, and optimize release cycles.
• Stay up to date with the latest trends and advancements in AI and machine learning technologies.

MVP Development and Iterative Testing

• Build Minimum Viable Products (MVPs) for new AI solutions, focusing on fast deployment, testing, and user feedback.
• Establish efficient testing frameworks to evaluate AI models and iterate on improvements quickly.
• Work closely with developers and QA teams to integrate AI-based prototypes into the software lifecycle and assess their impact on productivity.

End-to-End ML Pipeline Development

• Design and deploy scalable ML pipelines that support rapid prototyping, with strong processes for model training, testing, deployment, and monitoring.
• Manage versioning, retraining, and performance tracking to maintain high-quality AI solutions in production.
• Collaborate with cross-functional teams to refine solutions based on developer feedback and usage data.
• Establish standards for version control, deployment, and monitoring of ML models in production environments.
• Develop tools and processes for A/B testing, canary releases, and other ML rollout techniques.
• Ensure smooth integration of ML models within the internal development ecosystem.

Collaboration with DevSecOps Team

• Collaborate with DevSecOps engineers to integrate ML workflows into existing CI/CD pipelines.
• Support security measures for ML processes to ensure compliance with DevSecOps policies.
• Automate workflows and scripts to manage ML pipeline processes for faster, more reliable, and secure deployments.
• Integrate automation into DevSecOps workflows, ensuring repeatability and reducing manual tasks.

Documentation and Compliance

• Document AI use cases, PoCs, MVPs, and best practices for integrating AI into DevSecOps workflows.
• Create guidelines for evaluating AI models’ effectiveness, usability, and productivity impact.

Qualifications

Education and Experience

• Bachelor’s degree in computer science, Engineering, Data Science, or related field (Master’s degree preferred).
• 3+ years of experience in MLOps, DevOps, or AI experimentation, with a focus on rapid prototyping and MVP development.
• Strong understanding of DevSecOps practices and methodologies.

Technical Skills

• Proficiency in Python, Golang, Rust, or other relevant languages.
• Experience with ML frameworks (e.g., TensorFlow, PyTorch, LangChain), deployment platforms (e.g., Kubernetes), and ML pipeline tools (e.g., Kubeflow, MLflow).
• Familiarity with CI/CD tools (e.g., GitLab CI).
• Knowledge of Infrastructure-as-Code (IaC) tools like Terraform.
• Familiarity with data processing tools like Apache Kafka, Spark.
• Experience in developing RESTful APIs for AI models.
• Strong understanding of machine learning concepts, including neural networks, optimization algorithms, and evaluation metrics.
• Familiarity with Retrieval Augmented Generation (RAG) and prompt engineering techniques (e.g., instruction design, template-based approaches).

Prototyping and Experimentation Skills

• Proven experience in developing MVPs and iterating on prototypes with quick turnaround times.
• Experience in conducting PoCs and scaling solutions based on experimental results and user feedback.
• Ability to thrive in a fast-paced, agile environment, focusing on continuous experimentation and learning.

Soft Skills

• Strong problem-solving skills and an innovative mindset geared toward improving developer productivity.
• Excellent collaboration and communication skills to work effectively with DevSecOps, product, and developer teams.
• Self-driven, adaptable, and capable of managing multiple AI-driven projects in a dynamic environment.

Interested candidates who wish to apply for the advertised position, please click on “Apply”. We regret that only shortlisted candidates will be notified.

EA License No.: 01C4394 (PERSOLKELLY Singapore PTE LTD)

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.

Job Title: Facilities Data Center Engineer
Location: Singapore

Job Summary:
We are seeking an experienced M&E Facilities Data Center Engineer to manage the mechanical and electrical (M&E) systems for our state-of-the-art data centers. The ideal candidate will have a minimum of 3 years of experience in the M&E field, with a strong focus on data center infrastructure. You will be responsible for ensuring that all facilities operate efficiently, safely, and in compliance with industry standards.

Key Responsibilities:

• Oversee the operation, maintenance, and troubleshooting of M&E systems in the data center, including HVAC, power distribution, UPS, and generators.
• Perform regular inspections and maintenance of electrical, mechanical, and plumbing systems to ensure optimal performance and minimal downtime.
• Monitor energy consumption and implement strategies for energy efficiency and sustainability.
• Lead or assist in the installation, testing, and commissioning of new M&E systems.
• Collaborate with external vendors, contractors, and service providers to coordinate maintenance schedules and repair activities.
• Respond promptly to emergency situations, ensuring timely resolution of facility issues.
• Maintain accurate records of system performance, maintenance activities, and incident reports.
• Provide technical support during audits, inspections, and certifications.
• Work closely with the data center operations team to ensure that the facilities support the needs of IT infrastructure.

Requirements:

• Minimum 3 years of experience in M&E facilities management, ideally in data center environments.
• Strong knowledge of M&E systems, including HVAC, electrical distribution, and backup power systems (e.g., UPS, generators).
• Experience in troubleshooting and maintaining critical infrastructure systems in a data center.
• Strong communication and teamwork skills.

Responsibilities

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

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok and Helo as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the team

The ByteDance Large Model Team is committed to developing the most advanced AI large model technology in the industry, becoming a world-class research team, and contributing to technological and social development. The Large Model Team has a long-term vision and determination in the field of AI, with research directions covering NLP, CV, speech, and other areas. Relying on the abundant data and computing resources of the platform, the team has continued to invest in relevant fields and has launched its own general large model, providing multi-modal capabilities.

The Machine Learning (ML) System sub-team combines system engineering and the art of machine learning to develop and maintain massively distributed ML training and inference system/services around the world, providing high-performance, highly reliable, scalable systems for LLM/AIGC/AGI.

In our team, you'll have the opportunity to build the large scale heterogeneous system integrating with GPU/NPU/RDMA/Storage and keep it running steadily and reliably, enrich your expertise in coding, performance analysis and distributed system, and be involved in the decision-making process. You'll also be part of a global team with members from the United States, China and Singapore working collaboratively towards unified project direction.

Responsibilities

- Responsible for ensuring our ML systems are operating and running efficiently for large model deployment, training, evaluation, and inference

- Responsible for the stability of offline tasks/services in multi-data center, multi-region, and multi-cloud scenarios

- Responsible for resource management and planning, cost and budget, including computing and storage resources

- Responsible for global system disaster recovery, cluster machine governance, stability of business services, resource utilisation improvement and operation efficiency improvement

- Build software tools, products and systems to monitor and manage the mL infrastructure and services efficiently

- Be part of the global team roster that ensures system and business on-call support

Qualifications

Minimum Qualifications

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

- Strong proficiency in at least one programming languages such as Go/Python/Shell in Linux environment;

- Strong hands-on experience with Kubernetes and containers skills, and have more than 1 year of relevant operation and maintenance experience;

Preferred Qualifications

- Engage in the operation and maintenance of large-scale ML distributed system;

- Experience in operation and maintenance of GPU servers

- Possess excellent logical analysis ability, able to reasonably abstract and split business logic, a strong sense of responsibility, good learning ability, communication ability, self-driven and good team spirit;

- Have good documentation principles and habits to be able to write and update workflow and technical documentation as required on time.

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the team

The ByteDance Large Model Team is committed to developing the most advanced AI large model technology in the industry, becoming a world-class research team, and contributing to technological and social development. The Large Model Team has a long-term vision and determination in the field of AI, with research directions covering NLP, CV, speech, and other areas. Relying on the abundant data and computing resources of the platform, the team has continued to invest in relevant fields and has launched its own general large model, providing multi-modal capabilities.

The Machine Learning (ML) System sub-team combines system engineering and the art of machine learning to develop and maintain massively distributed ML training and inference system/services around the world, providing high-performance, highly reliable, scalable systems for LLM/AIGC/AGI.

As a vital AI infrastructure for the company, our machine learning system integrates our most up-to-date R&D results in AI algorithms and systems. Come and join us, you will get the chance of building large-scale machine learning systems, and working with the best AI system and algorithm researchers and engineers.

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 ByteDance.

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 ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities:

- Architect and develop efficient, highly scalable and secured services for machine learning system

- Optimise backend systems and services for machine learning system, computational efficiency and scalability;

- Analyse business and technical requirements carefully to solve challenging problems

- Participate in design reviews and code reviews

- Collaborate with fellow engineers, product managers, and business owners in the team to ensure timely delivery of business requirements

- 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 Computer Science, Computer Engineering or related fields;

- Strong software programming capabilities, exhibits good code design and coding style;

- Familiarity with at least one of the programming languages: Go, Python, Java or C++;

- Pragmatic understanding of data structure, algorithm design and analysis, networking, data security, distributed system, and highly scalable systems design.

Preferred Qualifications:

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

- Deeply passionate about software coding/development and building distributed system.

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

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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://jobs.bytedance.com/en/legal/privacy.

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

Morgan McKinley is looking for a skilled Machine Learning Engineer for a 12-months contract with our client in the tech industry.

As a Machine Learning Engineer within the ML Platform team, you will play a key role in developing frameworks and infrastructure for evaluating large language models (LLMs). Your focus will be on creating automated, repeatable evaluation processes and optimizing pipelines to ensure robust and efficient model assessments. The team is at the forefront of empowering teams across the organization to leverage the power of machine learning

Key Responsibilities:

• Design and Optimize LLM Evaluation Pipelines: Develop scalable pipelines to assess the performance of large language models, utilizing tools like Ray to enable efficient distribution of tasks.
• Develop Evaluation Metrics and Benchmarks: Create and integrate a comprehensive set of metrics and benchmarks to evaluate LLMs across various domains and tasks.
• Analyze and Communicate Results: Conduct detailed analyses of evaluation outcomes to identify model strengths, weaknesses, and areas for improvement, and present findings effectively to stakeholders.
• Collaborate Across Teams: Partner with research scientists and engineers to understand model requirements and implement effective evaluation strategies that align with their goals.
• Stay Updated on LLM Trends: Keep abreast of the latest advancements in LLM evaluation methodologies, tools, and best practices to ensure our processes remain cutting-edge.

Qualifications:

• With 2-3 years of experience in Machine Learning Engineering and Python
• Expertise in LLM Evaluation: A solid understanding of methodologies, metrics, and benchmarks for evaluating LLMs across tasks like text generation, summarization, and question answering.
• Proficiency in Distributed Computing: Hands-on experience with frameworks like Ray or similar technologies for scaling LLM evaluation processes.
• Strong Python and Machine Learning Skills: Advanced programming skills in Python and familiarity with machine learning libraries and tools.
• Experience with Kubernetes and Cloud Platforms: Proficiency in deploying and managing applications on Kubernetes, with a working knowledge of AWS.
• Strong interpersonal skills to work effectively with cross-functional teams and convey technical findings clearly.

Interested candidates may apply through the application system or send it to [email protected]. Shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to Morgan Mckinley 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.morganmckinley.com/sg/privacy-policy. You acknowledge that you have read, understood, and agree with the Privacy Policy.


Morgan McKinley Pte Ltd
Koh Boon Sien
EA Licence No: 11C5502
EA Registration No. R1110345

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 Search E-Commerce team is responsible for the search algorithm for TikTok's rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly TikTok users around the world. Our mission is to build a world where "there is no hard-to-sell good-priced product in the world".

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.

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 - What You'Il Do

-Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.

- Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth.

- Promote the development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.

Qualifications

Minimum Qualifications

- PhD with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.

- Excellent coding skills. Solid knowledge of data structure and algorithms.

- Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.

Preferred Qualifications

• Self-driven, able to deeply understand the business, adapt to rapid business changes, have good personal expression and communication skills, and be able to promote project implementation.

• Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be 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]

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

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

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

Join us.

About the team

The ByteDance Large Model Team is committed to developing the most advanced AI large model technology in the industry, becoming a world-class research team, and contributing to technological and social development. The Large Model Team has a long-term vision and determination in the field of AI, with research directions covering NLP, CV, speech, and other areas. Relying on the abundant data and computing resources of the platform, the team has continued to invest in relevant fields and has launched its own general large model, providing multi-modal capabilities.

The Machine Learning (ML) System sub-team combines system engineering and the art of machine learning to develop and maintain massively distributed ML training and inference system/services around the world, providing high-performance, highly reliable, scalable systems for LLM/AIGC/AGI.

As a vital AI infrastructure for the company, our machine learning system integrates our most up-to-date R&D results in AI algorithms and systems. Come and join us, you will get the chance of building large-scale machine learning systems, and working with the best AI system and algorithm researchers and engineers.

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 ByteDance.

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 ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities:

- Responsible for the design and development of a large-scale machine learning system, solving technical difficulties such as high concurrency, high reliability, and high scalability of the system;

- Responsible for various sub-fields of machine learning systems, including resource scheduling, model training, model reasoning, data management, workflow orchestration, etc.;

- Understand industry and company-wide trends and innovations to help assess, improve, and develop technologies for areas such as the introduction of the latest hardware architecture, heterogeneous computing systems, and compilation optimization technologies;

- 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

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.

- Strong software programming capabilities, exhibits good code design and coding style;

- Familiarity with at least one of the programming languages: C++, Python, Go or Java;

- Pragmatic understanding one or more of these domains in data structure, algorithm design and analysis, networking, data security, distributed system, and highly scalable systems design.

Preferred Qualifications:

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

- Participated in ACM/ICPC, NOI/IOI or similar competition;

- Experience in one of these domains: CUDA，RDMA，AI Infrastructure，HW/SW Co-Design，High Performance Computing，ML Hardware Architecture (GPU, Accelerators, Networking)，ML for System，Distributed Storage.

- Familiarity with NLP, CV or related algorithms or technical knowledge

- Familiarity with inference or training algorithms，tensorflow or pytorch framework

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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://jobs.bytedance.com/en/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 Search E-Commerce team is responsible for the search algorithm for TikTok's rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly TikTok users around the world. Our mission is to build a world where "there is no hard-to-sell good-priced product in the world".

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 - What You'Il Do

• Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.

• Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth.

• Promote the development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.

• 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

• Industry work experience in machine learning. Good product sense with a focus on user experience.

• Bachelor or advanced degree in computer science or a related technical discipline.

• Excellent coding skills. Solid knowledge of data structure and algorithms.

• Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.

Preferred Qualifications

• Self-driven, able to deeply understand the business, adapt to rapid business changes, have good personal expression and communication skills, and be able to promote project implementation.

• Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be 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://jobs.bytedance.com/en/legal/privacy.

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

• My client is a global leader in tech industry
• This opportunity offers competitive salary package

About Our Client

The client is a leading global tech company renowned for its innovative approach to social media and entertainment. With a mission to inspire creativity and bring joy, the company operates at the forefront of mobile video and content platforms, connecting millions of users worldwide and fostering a dynamic, fast-paced work environment focused on continuous innovation and growth.

Job Description

• Search and Recommendation Algorithm Development: Enhance search traffic and user experience by improving the accuracy of personalized recommendations.
• Search Engine Optimization: Develop and optimize search ranking algorithms to ensure the relevance of user query results.
• Technical Applications: Utilize ranking, Natural Language Processing (NLP), and multimodal technologies to improve search result accuracy.
• Data Analysis and Model Optimization: Conduct data mining and analysis to improve the quality of recommended content, supporting the development of scalable AI/ML models.

The Successful Applicant

• Education: Bachelor's degree or above in Computer Science or a related field.
• Experience: At least 3 years of relevant experience, with a preference for those with experience in machine learning, recommendation systems, or search algorithm development.
• Programming Skills: Proficiency in Python, Java, or C++, with a solid foundation in algorithms and data structures.
• Technical Skills: Familiarity with mainstream recommendation algorithms (e.g., collaborative filtering, matrix factorization) and experience with deep learning and transfer learning.

What's on Offer

• Opportunities to work on cutting-edge recommendation systems and search engines
• Access to a global network of talented engineers and data scientists
• Comprehensive benefits package
• Chance to have a direct impact on millions of users globally
• Multilingual education resources and rich international development opportunities, fostering personal growth

Contact

Lydia Chen (Lic No: R22108104 / EA no: 18C9065)

Quote job ref

JN-052024-6428327

Phone number

+65 6416 9829

Page Personnel Recruitment Pte. Ltd.| Registration No. 201736642C

Job description

DataForce by TransPerfect is looking for a highly motivated Machine Learning Engineer to join our onsite team on a fixed-term assignment in Singapore for an exciting new AI project!

Role Summary

As a Machine Learning Engineer, your responsibilities include working with language data and creating, categorizing, auditing and improving lexical data. To do this job successfully, you need solid programming skills and language fluency in Vietnamese.

You will be part of an onsite team with diverse skills and backgrounds, who will help brainstorm and find innovative solutions to complex issues.

Main responsibilities:

• Work with language data and create, categorize, audit, and improve lexical data
• Develop natural language processing code specific to Vietnamese language
• Provide input and suggestions in finding new approaches and new product features tailored to home market
• Find innovative solutions to complex issues
• Automate and integrate workflows from diverse systems
• Daily interactions with other teams working towards the same goal

Job requirements

• 1+ years of engineering experience in diverse technical areas
• Proficiency in Vietnamese language is required since you will work with Vietnamese content (read and process documents, analyze and label data in Vietnamese language)
• iOS or Mac OS X development skills
• Data processing knowledge
• Familiar with Python and Shell
• Experience with one or more version control systems with a preference for Git
• Familiar with regular expression
• Basic team collaboration skills (email, messaging, calendar, etc.)
• Full-time onsite position.

Education:

• B.S/MSc in Computer Science, Electrical Engineering, or related fields

Preferred Requirements:

• Experience in natural language processing (NLP), machine learning, or related sub-fields is a plus

DataForce by TransPerfect is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide. We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine Learning in different AI domains.

To learn more about DataForce please visit us at https://www.transperfect.com/dataforce

Our client is a fast growing pharmaceutical company

Responsibilities

• Responsible for the development of the URS, Engineering Technical Specification, and Maintenance Procedure for Utilities/Facilities services, equipment, and systems.
• Oversee the design, installation, and maintenance of utilities/facilities systems such as ACME, electrical, water, and gas distribution systems, Pest Control, Lifts, Fire Protection System, Wastewater Treatment Plant, lighting, site infrastructure, waste management etc.
• Collaborate with project teams to design and develop efficient and compliant biopharma manufacturing facilities.
• Participate in facility layout, design review, and equipment selection to ensure adherence to cGMP (uidelines and regulatory requirements.
• Contribute to the preparation of facility specifications, engineering drawings, and equipment specifications.
• Evaluate and select suppliers for utilities and infrastructure components, ensuring high-quality standards and cost-efficiency.
• Carry out technical alignments and bid tabulation for tender packages for order placement and participate in the execution of the projects.
• Monitor and oversee construction projects to ensure compliance with design plans, safety regulations, and project schedules.
• Conduct facility walk-throughs and inspections to identify any potential issues or deviations.
• Support/lead the Operation Readiness of the Utilities/Facilities infrastructure or systems transiting from project to operation phase.
• Conduct scheduled facility inspections in accordance with the maintenance schedule, ensuring adherence to SOPs, regulations, and safety standards.
• Identify energy-saving opportunities and optimal resource allocation strategies.
• Conduct scheduled facility inspections in accordance with the maintenance schedule, ensuring adherence to SOPs, regulations, and safety standards.
• Identify energy-saving opportunities and optimal resource allocation strategies.
• Optimize the scheduled maintenance of plants and equipment during overhauls and inspections.
• Analyse mechanical or system defects, suggest corrective actions, and resolve problems.
• Implement plant enhancement initiatives to improve plant dependability and performance.
• Direct processes for improving the plant's availability, efficacy, and cost- effectiveness.
• Develop technical specifications and manage procurement for maintenance requirements.
• Accountable for relevant EHS audits, energy management, and energy conservation initiatives in businesses.

What you should do now

Apply to this job ad or send your CV across to me at [email protected] for a confidential discussion.

(Brunel International South East Asia Pte Ltd, Registration Number: 199603098R | Company License Number : 16S8067 | Eve Ng EAP Registration Number R2198025.)

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, Mumbai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

At ByteDance, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for millions of users across all of our products. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at ByteDance.

Our TikTok team is responsible for developing state-of-the-art machine learning models and strategies to improve user consumption experience, inspire creativity, build a fair and flourishing ecosystem.

Responsibilities:

- Design and apply machine learning algorithm and recommendation strategies to improve users' experience on e-commerce content, including videos and livestreams.

- Understand ecosystem of e-commerce content and use algorithm and strategy to make it thrive.

- Work with product and ops team to deliver features that drives growth of e-commerce content on TikTok.

- Build industry leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning

Qualifications

1. Bachelor's degree in computer science or a related technical discipline, with at least 2 years of related work experience;

2. Solid experience with data structures and algorithms;

3. Software development experience through hands on coding in a general purpose programming language;

4. Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas;

5. Strong communication and teamwork skills;

6. Passion about technologies and solving challenging problems.

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.

Our Client, an electricity producer is currently looking for a Facilities & Security Engineer.

Location: Jurong Island And Bukom

Responsibilities:

• Plan and coordinate infrastructure and equipment maintenance schedules & activities.
• Respond to work order requests and equipment maintenance schedules & activities.
• Investigate, analyze and determine root cause and report breakdowns and faults effectively.
• Carry out and review facilities’ maintenance programs and recommend actions as required.
• Identify and report on plant and equipment inefficiencies and possible improvement initiatives.
• Evaluate operational systems and facility infrastructure to ascertain and improve operational efficiencies.
• Monitor and review plant infrastructure, asset life expectancy and implement long-term maintenance plans.
• Prepare Purchasing Documents for the purchase of spares & the purchase of Work Services required to carry out the rectification works of the faulty equipment, faulty buildings’ infrastructure etc. (E.g. Preparation of tender specifications for service contracts such as cleaning, landscaping, pest control, waste disposals, card access systems, lifts & sewerage treatment plants’ service & maintenance works, auto-gates/ auto-barriers maintenance).
• Prepare the Facility Asset Management Plan (AMP).
• Design and oversee the implementation of facility expansion, layout, systems, and quality controls.
• Engage contractors and establish procedures to supervise and monitor the performance of contractors to ensure that the company’s requirements for work services are met.
• Ensure compliance with relevant regulations, building codes, and health and safety standards.
• Prepare technical reports on breakdowns, proposals and compliance documents.

Requirements:

• Degree in Civil, Mechanical, Electrical, Facilities Management Engineering or equivalent.
• At least 1 year of experience as a Facilities Engineer or in a similar role.
• Experience with SAP, and MS Office, especially Excel & PowerPoint.
• Knowledge of the building regulatory requirements in Singapore.
• Strong verbal and written communication skills.
• Strong troubleshooting, problem-solving and project management skills.
• Experienced in managing small to medium scale plant & building facilities incorporating maintenance plans, scheduling, costings, and cost controlling.
• Experienced in carrying out plant & buildings maintenance works, demonstrates personal creativity and/or flexibility in problem solving and budgeting process approaches

By sending your job resume to us, it shall be deemed that you have agreed and hereby give your consent to Merries Employment LLP in collecting, using and/ or disclosing your personal data for the purpose of accessing and processing your job application and/ or for future job opportunities within Merries and/ or with the client(s) of Merries. If you wish to withdraw your consent, please notify us.

We regret to inform only shortlisted candidates will be notified.

Merries Employment LLP

EA Licence No: 14C7362

Posting Personnel: Kong Fong Ting
EA Personnel Registration No: R1987853

Job Responsibilities

• Inspect the hotel's rooms, common areas, and back-of-house spaces regularly.
• Perform preventive maintenance on HVAC, plumbing, electrical systems, lighting, and mechanical equipment.
• Handle minor repairs like fixing doors, replacing light bulbs, and repairing furniture.
• Respond quickly to guest complaints about maintenance issues (e.g., broken fixtures or malfunctioning equipment).
• Ensure all guest room amenities, such as air conditioning, lighting, and appliances, are working properly.
• Carry out basic electrical repairs like rewiring outlets, replacing light fixtures, and fixing power issues.
• Repair plumbing problems, including leaks, clogged drains, and faulty water systems.
• Check fire alarms, sprinklers, and emergency lighting regularly for safety.
• Maintain proper chemical levels in the swimming pool and spa.
• Create and follow a preventive maintenance schedule for hotel equipment and infrastructure.
• Work with outside contractors for specialized services (e.g., elevator maintenance, pest control).
• Monitor and evaluate contractors' work to ensure it meets hotel standards.
• Track energy usage and suggest ways to improve efficiency, such as using energy-saving equipment.
• Provide regular maintenance updates to hotel management.

Job Requirements

• Skilled in HVAC, electrical, plumbing, and general maintenance.
• Strong troubleshooting, problem-solving, and communication skills.
• Detail-oriented with a focus on safety.
• Physically fit for rotating and overnight shifts.

Role based in Sydney, Australia - Relocation Support Provided

We are Rokt, a hyper-growth ecommerce leader. We enable companies to unlock value by making each transaction relevant at the moment that matters most, when customers are buying. Together, Rokt's AI-based relevance Platform and scaled ecommerce Network powers billions of transactions. In December 2022, Rokt’s valuation increased to $2.4 billion USD, allowing us to expand rapidly across 15 countries. 

The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to better understand consumers. Our bespoke platform handles millions of transactions per day and considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology.

At Rokt, we practice transparency in career paths and compensation.

At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible.

We are looking for a Senior Machine Learning Engineer

Compensation: $190,000-$235,000 AUD including superannuation, plus employee equity plan grant & world class benefits.

As a Senior Machine Learning Engineer, you are someone who has significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionise proprietary machine learning models to solve different business challenges including smart bidding, lookalike modelling, forecasting, etc.

About the Role:

• Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions.
• Build and productionise machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc.
• Contribute and maintain the high quality of the code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc.
• Keep track of emerging tech and trends, research the state-of-art deep learning models, prototype new modelling ideas, and conduct offline and online experiments.
• Share your knowledge by giving brown bags, tech talks, and evangelising appropriate tech and engineering best practices.

About You:

• PhD in Machine Learning [Nice to have]
• Extensive knowledge in and experience with some of the following areas - Bayesian methods, Recommender systems, multi-task modelling, meta-learning, click through rate modelling or conversion rate modelling.
• 3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring.
• Experience with Kubeflow (or similar), Tensorflow and Feature Store in a production environment is a massive plus.
• Bonus points if you are familiar with any of the following architectures or have experience with the models mentioned in this benchmark: DCNV2, MMOE, Deep & Wide, ESMM, xDeepFM, and GDCN.

This role is based in Sydney, Australia. Rokt will provide relocation and visa support to qualified candidates.

About Rokt’stars:

As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock the full potential in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. 

About The Benefits:

We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it:

• Accelerate your career. We offer roadmaps to leadership and an annual $5000 training allowance
• Become a shareholder. Every Rokt’star gets equity in the company
• Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us! 
• Extra leave (bonus annual leave, sabbatical leave etc.) 
• Work with the greatest talent in town
• See the world! We have offices in New York, Seattle, Sydney, Tokyo and London

We believe we’re better together. We love spending time together and are in the office most days (teams are in the office 4 days per week). We also get that you need to balance your life and your commitments so you have the flexibility to manage your own hours and can spend up to a week of every quarter working from anywhere.

If this sounds like a role you’d enjoy, apply here and you’ll hear from our recruiting team.

We are looking for highly motivated experienced Machine Learning Engineer. We have designed a specific learning program to accelerate the young and talented graduates to enter and start their careers with the aspiration to empowering breakthrough innovation in Financial Services!

WHO IS KLAARA
KLAARA provides AI-driven solutions tailored to the needs of customers in the capital market, insurance, reinsurance, and various other organizations. Our cutting-edge platform empowers businesses to transform their unstructured data into actionable intelligence, fuelling better decision-making and driving competitive advantage.
Headquartered in Singapore, KLAARA was launched in 2023 as a result of 3 years of Research and Development and a spin-off of Upskills, a consultancy company in Capital markets.
KLAARA is composed of creative thinkers and problem solvers, with the ultimate mission to breakthrough innovation! All of us are fully engaged in delivering cutting-edge solutions with the latest state of the art in AI.
Our DNA is reflected in our values, these are how we act every day to make the greatest impact on what we are doing!

• We ask “Why not”.
• We constantly learn and grow.
• We care for one another.
• We cherish honest and respectful conversations.
• Positive energy and proactivity are the foundations of our team.
• Excellence and pushing technologies characterise our ambition: Sky is the limit!
• We are serious about fun.
  If you see yourself enjoying working as a member of KLAARA team, then check out below!

WHY JOIN US?

• To work with a team of dynamic ML engineers and R&D team in a fast-growing start-up
• Contribute to KLAARA’s product development roadmap
• Identify and train suitable machine learning models to be used in conjunction with trading algorithms for complex problems
• Oversee the full ML model training lifecycle from data preprocessing to model serving
• Design and implement ML pipelines to allow for proper tracking of data trained models
• Deliver POC.
• Progress within the state-of-the-art AI environment
• Fine-tune the current model and implement it.
• Understand, analyse and define new models to create new use cases.
• ​Lead a team of engineers.

Requirements

• Master or Bachelor's Degree in Computer science, AI, Data Science is preferred.
• Experience in ML model training/fine-tuning from Data preprocessing all the way to model serving
• Experience in optimizing performance of ML models
• Experience with ML pipe lining toolsFull proficiency in Python, R
• Understanding of basic Git commands
• Proficiency in Linux-based operating systems
• Strong knowledge in Machine Learning and Deep Learning (CNN, RNN, Random Forest, SVM, etc)
• Experience with Document AI understanding, and extraction is a big plus
• Experience with Pytorch or Tensorflow
• Knowledge of DevOps CI/CD tools such as Jenkins
• Knowledge of container tools such as Docker and Kubernetes
• Github repository with projects is a big plus (we want to see what you have been able to create)
• Ability to solve technical challenges and solutions
• Good command of spoken & written English
• A fast learner and able to work independently

• Responsible for the maintenance and operation of electrical systems.
• Consistent performance monitoring and ensuring highest uptime.
• Project management for new equipment installations.
• Identify system abnormalities and provide technical solutions through troubleshooting.

Requirements:

• Degree in Electrical Engineering or equivalent.
• At least 3 years of experience in project installation of electrical distribution, as well as operation and maintenance of Transformers, LV and MV switchboards, UPS, Motors, Frequency converters, and power distribution systems.
• Familiarity with low voltage systems such as Fire protection, CCTV, PA, and network systems.
• Capable of analyzing protection circuits, single line drawings, and control circuits.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701
Registration: R21100996

Our client is a specialized provider in Asia that focuses on delivering unique solutions for welding gases and safety, aiming to enhance operational efficiency and safety practices across various industries.

• Oversee the efficient operation and maintenance of gas supply facilities and associated equipment.
• Develop project designs, estimate costs, and present the results.
• Deliver technical training to staff while assessing materials, subcontractors, and suppliers.
• Ensure adherence to government regulations and respond effectively to emergencies.

Requirements:

• Degree in Mechanical/Electrical/Electronic/Mechatronic Engineering or equivalent.
• At least 2 years of experience with Gas/Medical Gas Systems.
• Proficient in AutoCAD

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R21100996

Our client’s principal activities are to provide Clients with Full Turkey Project Management. This includes engineering, project management through the pre-construction planning, critical path development, construction / fabrication / site management, commissioning and hand over. It has executed a wide range of major projects involving Marine FPSO Conversion/Process Module Construction related to Oil and Gas Industry, Sub-Sea Products, Semi-Submersibles, Repair of Oil Rigs, Pharmaceutical Process Packages and Power Generation Facilities since its foundation in 1990. This vast experience and Total Commitment to Customer Satisfaction has since earned it a strong reputation in the industry as a reliable local business partner that aspire to exceed our clients’ expectations.

It is looking for Facilities Engineer.

Job Highlights

- Listed Company with Good Benefits

- Career Growth Opportunity |Trainings for Career Growth

- Competitive compensation benefits

- Cultural Diversity in all departments

- Conductive and Friendly Working Environment

- Permanent role Department: Commercial| Reporting to Senior/ QS Manager

- Location: Gul Circle| Company’s transport available: Pick up service @ designated places

Responsibilities

· Operations and Maintenance Regime (Preventive and Corrective Maintenance)

· Daily and Weekly Work Planning and Duty Roster

· Manage day-to-day functions of facility technicians and gather feedback and observations from routine inspections

· Guide and monitor Facility Technicians whenever help is needed to resolve facility / building issues while ensuring Workplace Safety

· Prepare the maintenance schedule and arrange contractors for servicing

· To ensure all preventive, corrective maintenance and ad-hoc works are duly carried out to ensure facilities and Fire Safety Equipment are in good working conditions

· To maintain and schedule the periodic maintenance and servicing Plants compressors, pumps and all equipment.

· To maintain Chiller plants and monitor the plant efficiency. Including Cooling Tower, Condenser pump and AHUs.

· Hands on Electrical, Mechanical, Sanitary and Plumbing works as needed to support Technicians

· Support Emergency Response Plan

· Coordinate with Safety/Security Team and landlord to verify Building/Fire Alarms and record events.

Job Requirements

· Diploma in Electrical and Electronics Engineering or equivalent

· Minimum 5 years of maintenance and facilities working experience in marine shipyard industry

· Good in preparing operation reporting

· Possess good communication skills and be able to relate different levels of people

· Have a good safety mindset and displays good WSH behaviour.

Job Related Information

· Permanent – 5.5 days’ work week | Monday-Friday 8am-5pm, Saturday 8am-12pm

· Head-Office Location: Gul Circle| Singapore

Job related information

· Permanent - 5 days’ work week| Monday-Friday 8am-5:30 pm

· Location: Gul Circle Road| Company’s transports are available @ designated places

Compensation & Benefits

· Monthly Basic Salary will be based on expertise and qualifications

· Healthcare benefits such as Outpatient, Dental, Health Screening etc.

· Cover with insurances, Personal Accident, Hospital & Surgical, Term Life and Work Injury policy

· Variable Bonuses

· 14 days Annual Leave and 14 days sick leave

· Birthday leave / Festival eve half day leave

· NTUC membership – Applicable for only Permanent confirmed staff

· Company’s transport is available at 5 pickup points:

- Bukit Batok MRT

- Jurong East MRT

- Boon Lay MRT

- Choa Chu Kang MRT (only Morning pickup)

- Woodland MRT (only Morning pickup).

NB

· NO QUOTA FOR THE FOREIGNERS PLEASE.

· This job vacancy is posted on the My Career Future Jobs Bank portal, which is only for the Singaporeans and Singapore PRs.

Please contact our Recruitment Manager: Leeza Shaheed (R1770675) @ [email protected] for further enquiries about the role.

Venture Cove Pte Ltd (EA License 21C0547|UEN: 202103896W)

Robinson Rd, #12-03, Oxley Tower, Singapore 068906

Website: http://www.venture-cove.com/

Responsibilities

Facility / Infrastructure Maintenance

• Performs specialized preventative and corrective maintenance on-site to critical facility components and/or systems.
• Performs moderately difficult repairs, maintenance, installations and on-site inspections to critical facility systems.
• Monitors the Building Monitoring System (BMS) and resolves alarms for specialized issues requiring considerable judgement and implications to resolve; follows guidelines on standard procedures and makes recommendations for solutioning.
• Operates and maintains plumbing, fire suppression, and life-safety systems.
• Implements energy efficiency measures.
• Assists team members on coordinating critical infrastructures.
• Works on assignments requiring considerable judgment and initiative.
• Understands implications of work and makes recommendations for solutions.

Vendor Support

• Coordinates and directs vendors on skilled tasks to ensure that maintenance activities are carried out per standards and requirements.
• Assists with the creation and submission of scripts for maintenance.
• Tracks and implements the work approval process for service providers for critical maintenance (including briefing at the start of work, control of work during the day workday/shift, final review of the work carried out).
• In cooperation with the vendors, changes/updates technical files for plants and equipment ensuring files and builds are up-to-date.

Site Administration & Incident Support

• Performs specialized site logs and data gathering for issuing of permits, such as Maintenance Operation Protocol (MOPs) and scripts.
• Identifies Single Points of Failure (SPOFs) and makes recommendations for solutions.
• Responds to all on-site incidents, including failures, significant problems and delays.
• Performs Root Cause Analysis (RCA) and make recommendations for solutions.
• Supports the on-site staff during incidents.
• Demonstrates and supports processes and procedures are followed and adhered to.

Work Orders & Additional Projects

• Completes skilled work requests and circuit installations.
• Performs advanced troubleshooting and maintenance of office equipment (if necessary); supports auxiliary equipment and machines with problem solving and repairs to avoid/minimize downtime.
• Makes moderate changes to mechanical, electrical and specialized systems, as directed.
• Carries out more complex infrastructure projects.
• Supports life cycle maintenance/end of life. infrastructure projects and critical replacements.
• May recommend infrastructure projects.

Collaboration

• Collaborates with others to resolve difficult facility incidents.
• Effectively collaborates within the department; may mentor team members on skilled maintenance activities.
• Informs stakeholders of inventory needs to maintain optimal stock levels of critical parts and equipment, may support in coordinating processes for maintaining inventory.
• Acts as a mentor to others in resolving incidents.

Qualifications

• 1+ years of experience, prefer data center experience

EA License Number : 11C4879

Our client is a specialized provider in Asia that focuses on delivering unique solutions for welding gases and safety, aiming to enhance operational efficiency and safety practices across various industries.

• Oversee the efficient operation and maintenance of gas supply facilities and associated equipment.
• Develop project designs, estimate costs, and present the results.
• Deliver technical training to staff while assessing materials, subcontractors, and suppliers.
• Ensure adherence to government regulations and respond effectively to emergencies.

Requirements:

• Degree in Mechanical/Electrical/Electronic/Mechatronic Engineering or equivalent.
• At least 2 years of experience with Gas/Medical Gas Systems.
• Proficient in AutoCAD

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R21100996

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

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

About the team

Our Search Team is responsible for building and owning TikTok's search engine which provides our users the best search experience. On the TikTok Search Team, you’ll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, Computer Vision, Multimodal, and Recommender Systems. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.

Responsibilities

• Optimize the searching quality to provide TikTok's users the best search experience

• Combine your understanding of product objectives and take full advantage of modern machine learning, NLP and Multimodal techniques to improve the search ranking algorithms, including query understanding, video understanding and various levels of result ranking.

Qualifications

• Bachelor degree or above in the field of computer science or a related technical discipline

• Must have relevant experience in search / recommendation

• Proficient coding skills and strong algorithm & data structure using C++/Python/Java

• Experience in one or more of the following areas: NLP, Ranking, Ads, Search engine, Recommender System, and Machine Learning

• Effective communication and teamwork skills.

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.

This is a permanent role with a large multinational main contractor.

Responsibilities:

• Conduct, manage and solve technical issues escalated from sites related with instrumentation and monitoring
• Manage site to maintain project timely executed, liaise with LTA, QPS team & design team for project design and requirement matters.
• Monitoring work progress & generate geotechnical instrumentation reports.
• Attend technical meetings with Clients, Contractors, and Consultants.
• Site evaluation of soil, rock, fault distribution and geological studies on site to determine their engineering properties
• Conduct interpretation of actual soil conditions and test results and oversee all excavation works (Cut-and-Cover Tunnel, Slope, Shaft, Pipe Jacking etc.)

Requirements

• Minimum 5 years of engineering geology experience with Degree in Geology or Engineering Geology.
• Have experiences for roles of geologist / instrumentation-monitoring engineer for deep excavation projects of similar scale and client, nature and complexity, with experience of similar weathered granite deposits and ability to work under confined condition (under tunnel roof slab)
• Well versed in Civil Projects

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

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

About the team

Our Search Team is responsible for building and owning TikTok's search engine which provides our users the best search experience. On the TikTok Search Team, you’ll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, Computer Vision, Multimodal, and Recommender Systems. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.

Responsibilities

• Optimize the searching quality to provide TikTok's users the best search experience

• Combine your understanding of product objectives and take full advantage of modern machine learning, NLP and Multimodal techniques to improve the search ranking algorithms, including query understanding, video understanding and various levels of result ranking.

Qualifications

• Bachelor degree or above in the field of computer science or a related technical discipline

• Minimum 5 years of experience in search / recommendation

• Proficient coding skills and strong algorithm & data structure using C++/Python/Java

• Experience in one or more of the following areas: NLP, Ranking, Ads, Search engine, Recommender System, and Machine Learning

• Effective communication and teamwork skills.

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.