Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Highlights

• Permanent Position / MNC/ Near Woodlands MRT/ Urgent Hiring!!
• Afternoon Shift (Monday to Friday: 3pm – 11pm, Sat: 1pm - & 7pm)
• Afternoon Shift allowance
• AWS bonus, Annual Leave,Medical Benefit, Dental Benefit

Our client is a global advanced precision engineering & manufacturing solutions provider. Due to fast expansion, they are actively seeking for Automation Engineer

Responsibilities

• Responsible for all automation related activities of the product.
• Responsible for the Maintenance and Repair of production automated machines.
• Optimise automation parameters and meeting specific cycle time for existing and new products.
• To provide timely support to ensure efficiency of production machines & equipments are met.
• To work with respective department on product quality issues.
• Initiate containment plan and implement effective long term plan on quality related issues
• Attend to all daily quality and process related issues.
• Execute process validation for new and existing products with tooling and quality personnel.
• Continuous Improvement to enhance quality and productivity through automated processes
• Perform internal quality system audit.
• Train and assess production staff on processes and product where applicable.
• Attend routine production and quality meetings
• Execute engineering change notice from customer.
• Analyze quality data collected periodically and provide recommendation to management for improvement

Requirements

• Degree/Diploma in Engineering-related discipline, preferably Mechatronics
• Knowledge in ISO9001, ISO13485, TS16949, familiar with FMEA
• Results-oriented, meticulous and a self-motivated team player

Interested candidates, please e-mail resume in Word document (indicating your current salary and expected salary) to:

Ryan Tan (EA Reg. no.: R23116422)

Recruitment Manager

Right Recruit Pte. Ltd.

10 Anson Road, #33-03, International Plaza, Singapore 079903

EA Licence No: 23C1743

[email protected] I www.rightrecruit.com.sg

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit comp.
• lex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Responsibilities

• Design of detailed piping arrangement for water treatment plant and systems, including generate isometric drawing, piping support drawing and BOM (bill-of-materials).
• Prepare and design equipment layout for complete plant and modular skid, PFD (Process Flow Diagram) and PID (Piping and Instrumentation Diagram), pumps, and other equipment outline drawings as well as EICA drawings.
• Prepare piping specifications, pressure drop calculation, technical specifications, or data sheets for the purchase of piping components.
• Sizing and selection of pump, equipment, piping, fittings etc.
• Co-ordinate and interface with process, instrument, civil and equipment suppliers.
• Clarification and evaluation of vendor quotations.
• Onsite support during project execution stage.
• Prepare and update as-built drawings.
• Other ad-hoc works as assigned.

Requirements

• Diploma/Degree holders in Mechanical Engineering or relevant field
• Proficient with Revit, AutoCAD Plant 3D and Isometric drawings
• Preferably 3 years relevant working experience in similar industry
• Able to work with all levels of workforce
• Self-motivated and team player
• Excellent interpersonal and communication skill

The client is a leading provider of innovative engineering solutions and high-quality textile machinery. They have a strong global presence and a focus on delivering excellence through advanced technology and customer-driven services. The company operates within a dynamic environment, prioritizing innovation and sustainability. Below position is open urgently:

Position: Facility Engineer (12 months Contract, Renewable)

Location: Pasir Ris

Working Hours: Office Hour

Job Summary:

Responsible for managing maintenance operations, overseeing facility upgrades, and ensuring compliance with safety and regulatory standards. The role involves supervising contractors, driving energy efficiency initiatives, and ensuring seamless plant operations.

Key Responsibilities:

· Manage engineers & contractors to perform preventive maintenance, repair maintenance, building and ground services to achieve minimum disruptions to operations.

· Manage upgrading projects to ensure projects are on schedule and within the budget, complies with regulatory and technical requirements.

· Works closely with project lead on projects progress.

· Coordinates with plant personnel when operation is affected.

· Checks and builds per specification requirement.

· Responsible for environmental and safety activities.

· Implements lean energy program to drive improved energy efficiency.

· Any other ad-hoc tasks as and when assigned by supervisor.

Requirements:

· Minimum Diploma in either Facility Engineering or Project Management

· Minimum 3 years of relevant working experience.

· Desired Knowledge (1) Compressed Air Systems(2) Cleanroom system (3) Aircon systems or other plant facilities equipment maintenance &(4) operating knowledge in a manufacturing environment .

**Interested candidates, kindly email updated resume to [email protected] with Subject of "Facility Engineer", thank you.

Roles & Responsibilities

· Responsible for electrical and instrument preliminary and detailed design, costing, procurement and execution for company's proposals and projects

· Front end engineering design and detailed engineering design work of electrical (load calculation, SLD design, cable scheduling, cable routing, instrument hookup), drawings and relevant documents for submission

· Work out the BOM, Schedule and follow up with Procurement for timely delivery

· Work with inter departments, customers, and vendors to deliver the best technical solution for the electrical works

· Support project implementation by attending site on a daily or regular basis to facilitate the flow of and resolution of field issues

· To lead testing and commissioning of electrical systems

· To monitor and update project schedule

· To manage and supervise the clearance of punch list to ensure timely project completion

· To prepare document for submission and handover to clients

· Other ad-hoc duties as and when assigned.

Requirement

· Bachelor's Degree in Electrical / Electronic Engineering

· Preferably Proficent with AutoCad Plant 3D

· Min 3 years of working experience in related field

· Able to work independently and a team player

· Honest, responsible, and organized

Job Descriptions:

* Configure and troubleshoot issues related to windows desktop, notebooks, printers, Applications and PC peripherals.

* Troubleshoot and resolve any hardware, operating system, software and application problems relating to desktops, notebooks, printers, and PC.

* Perform desktop patch update according to existing process.

* Install/ Remove computer software and applications.

* Maintain stock for Hardware and Peripherals where necessary.

* Ensure positive customer experience through end user IT support.

* Any other ad hoc duties as assigned.

Skillset Required:

*Proficiency in Windows, macOS, and Linux environments.

*Basic IP networking

*Familiar with Office 365 Platform

*Helpdesk ticketing tools such as Servicenow

Other Requirements:

* Proficient in both spoken and written English and Mandarin

* Minimum of 2 years experience

· Preparing, scheduling, coordinating, and monitoring of assigned engineering projects.

· Formulating project parameters and assigning responsibilities to the most capable employees and monitoring the project team.

· Interacting with clients, interpreting their needs and requirements, and representing them in the field.

· Performing quality control tasks on budgets, schedules, plans, and personnel performance and reporting on the project's status.

· Cooperating and communicating with the project manager and other project participants and collaborating with senior engineers to create more efficient project methods and to maintain the project's profitability.

· Reviewing the engineering tasks and initiating the necessary corrective actions.

· Developing specifications for the project's needed equipment.

· Creating frameworks to measure the project's metrics and data collection.

· Establishing field test methods and methods for monitoring the quality of those tests.

· Ensuring the project's compliance with the applicable codes, practices, policies, performance standards, and specifications.

Project Engineer Requirements:

· A Bachelor's degree in engineering or a related field.

· 3 or more years' field and project planning experience.

· Excellent computer literacy and knowledge of design and visualization software.

· The ability to work with multiple discipline projects.

· Excellent project management and supervision skills.

· Excellent organizational, time management, leadership, and decision-making skills.

· Strong written and verbal communication skills.

· Knowledge of applicable codes, policies, standards, and best practices.

1. Responsible for formulating and implementing Commercial business plans to achieve the company goals and objectives.

1. Achieve sales & margin targets through existing/potential clients
2. Develop & manage new clients and look for business opportunities
3. Effectively plan sales calls including cold-calls
4. Provide regular customer services and build strong relationships with clients
5. Follow up quotation or/ business opportunities closely till obtaining order confirmation

Note : Need to monitor from start to end of the project including paper work wih job completion report.

JOB DESCRIPTION

1. Responsible for overall project progress and ensure project is complete within the specific time, within budget and meet client’s requirement;
2. Liaise with design team on engineering and design issues;
3. Responsible for planning and deployment of resources such as manpower, machinery, equipment and material;
4. Resolve any disputes/clarifications during the execution of project;
5. Ensures settlement of project final accounts at the end of the contract;
6. Prepares and attends project budget presentation and review;
7. Prepares audit reports;
8. Chairs Safety and Health coordination meetings.

REQUIREMENT

1. Diploma in Mechanical Engineering or Equivalent Certificate;

2. At least 3 years of relevant experience in the Marine Industry;

3. Good office coordination skill and interpersonal skill;

4. Independent and resourceful;

5. Good communication skill;

6. Able to handle pressure;

7. Preferably able to understand and read Mandarin.

Responsibilities:

· Generate new / potential clients and manage business working relationships with existing clients

· Achieve KPIs, ensuring clients’ satisfaction through development of strategic plans and effective communication

· Develop, maintain understanding of company products and services

· Provide timely and accurate sales forecasts and reports

· Work closely with Operations Team to ensure clients’ satisfaction

· Attend trade shows, conferences and other events if necessary

Requirements:

· Diploma in Engineering Fields / relevant certifications

· Proven sales track record

· Excellent communication and interpersonal skills

Please include in the CV

· Last drawn

· Expected salary

· Notice period

Interested candidates, please submit your CV to [email protected]

EA License No: 06C4642

EA Reg No: R1110624

All applications will be treated in strictest confidence and only short-listed candidates will be notified

• 5 days, North, MNC
• $3800 - $4000, performance bonus
• New position, start immediately

Responsibilities:

• Oversee and manage VMware and other vCenter environments to ensure optimal performance and reliability.
• Configure and maintain Meraki switches and access points, as well as Fortigate firewalls, ensuring network security and efficiency.
• Administer Windows servers, including MS-SQL and IIS servers to support development projects and assist with creating queries and reports.
• Support and maintain Windows workstations and laptops, troubleshooting and resolving issues as needed.
• Implement and manage backup/recovery solutions, along with comprehensive disaster recovery plans to safeguard data and operations.
• Collaborate with HQ to align with corporate IT standards, including maintaining and updating ISO documentation as required.

Requirements:

• Possess a Diploma/Degree in Computer Engineering, Information technology, Computer Science or equivalent.
• Minimum 1 year of experience in IT infrastructure management
• Able to start within short notice is an advantage
• Strong knowledge of VMware and vCenter environments.
• Proficient in SQL and IIS server management.
• Hands-on experience with Windows servers and workstations.
• Familiar with Meraki and Fortigate products.
• Experience in office 365 installation and configuration.

Interested applicants, please send your resume to [email protected]

MOM License 16C7883 | Reg No. R1109186

• MNC, 5 days, North
• $4000 - $4800, performance bonus
• Career advancement

Job scope:

• Operate and maintain advanced probe card analyzers and QA equipment, ensuring compliance with operational standards and functionality benchmarks.
• Prepare, debug, and validate test files for probe card certification, ensuring alignment with precise technical specifications and quality criteria.
• Conduct in-depth investigations and resolve probe card related issues,employing a methodical approach to diagnose root cause and implement corrective measures.
• Engage proactively with relevant departments to maintain QA readiness for all certification processes, ensuring seamless coordination on quality-related challenges.
• Serve as a liaison with headquarters and customers on new certification processes, offering technicial updates and managing expectations effectively.
• Contribute to the continuous improvement of QA processes, leveraging industry insights to enhance operational efficiency and quality outcomes.
• Take on supplementary duties as required, supporting the team in achieving project goals.

Requirements:

• Minimum a Diploma/Degree in Electronics, Mechanical Engineering or equivalent.
• Knowledge in wafer testing or probe card is an advantage
• Good communication and written skills
• Able to start within short notice will be an advantage

Interested applicants, please send your resume to [email protected]

MOM License 16C7883 | Reg No. R1109186

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.

Associate / System Engineer

Salary: $2800 - $3000 (ASE), $3500 (System engineer) + Allowance

Working Days: 5 days, 8.30am- 5.50pm

Working Location: East, travel to clients site whenever required

Job scope:

• To provide support on maintenance project.
• Handle system administration, network support, implementation, troubleshooting in Windows / Linux / Unix.
• Hands on experience in managing LAN / WAN / Routers / Switches / DNS / VPN and Firewall is preferred.

Requirements:

• At least a Diploma in Engineering (Electrical/Electronic), Computer Science/Information Technology or equivalent.
• Must have at least 1-2 years of Server experience
• Able to work on scheduled standby on rotating weeks

Email: [email protected]

Tan Yong Zhi (Jackson) | Reg: R24124461

The Supreme HR Advisory Pte. Ltd | EA No: 14C7279

Sabre is a technology company that powers the global travel industry. By leveraging next-generation technology, we create global technology solutions that take on the biggest opportunities and solve the most complex challenges in travel.

Positioned at the center of the travel, we shape the future by offering innovative advancements that pave the way for a more connected and seamless ecosystem as we power mobile apps, online travel sites, airline and hotel reservation networks, travel agent terminals, and scores of other solutions.

Simply put, we connect people with moments that matter.

About the team:

The Sabre LGS (Lodging, Ground & Sea) team drives innovation in lodging, ground transportation, and sea travel within Sabre's global distribution business. Focused on creating a seamless end-to-end travel marketplace, the team enables travel providers to manage and distribute content efficiently, helping them connect with quality travelers and meet evolving market demands. By leveraging Sabre’s advanced technology solutions, the LGS team empowers agencies and suppliers to optimize their strategies, enhance traveler experiences, and drive growth across the travel ecosystem.

What you’ll be doing?

Sabre LGS is seeking a dynamic individual to lead its Supply and Digital Media Services in the APAC region. This role focuses on building strong relationships with regional and global hotel chains to accelerate Sabre’s digital media services growth while managing hotel supply for Sabre's LGS portfolio. This position plays a critical role in advancing Sabre's advertising technology and digital media solutions within the travel industry, specifically targeting hotel supplier customers.

You will act as a bridge between internal teams—including product management, marketing communications, sales, and third-party partners—to ensure alignment and execution of market-driven strategies. By combining technical expertise with strong business acumen, the role will drive awareness, adoption, and revenue growth for Sabre's digital media offerings. Additionally, you will focus on managing and expanding hotel supply partnerships, ensuring optimal utilization and value delivery through Sabre’s GDS network.

This is an individual contributor role but comes with high visibility and accountability for delivering business results, requiring strong leadership and project management capabilities to influence and drive outcomes effectively.

Key Responsibilities:

· Build and maintain strategic partnerships with regional and global hotel chains to ensure a robust and diverse hotel supply within Sabre's LGS portfolio.

· Identify and onboard new hotel suppliers to the Sabre platform, collaborating with internal teams to streamline integration and ensure a seamless supplier experience.

· Optimize hotel supply by identifying and addressing gaps in content, availability, and competitiveness to maximize value for customers and drive revenue growth.

· Serve as a subject matter expert on hotel distribution systems, providing insights to internal stakeholders and aligning supply strategies with market demands.

· Digital Media Services: Drive market awareness and adoption of Sabre’s digital media services products within the LGS portfolio of hotel customers.

· Develop and execute product campaigns and go-to-market strategies, including internal communications, sales enablement, and external promotions. Collaborate with third-party partners as needed.

· Equip the sales team with tools to communicate key messages, address market challenges, identify target prospects, and support strategic sales opportunities. This includes developing collateral, presentations, and tailored demonstrations for different audiences.

· Gather customer testimonials, case studies, and references to strengthen Sabre’s market position.

· Analyze market trends, buyer personas, and customer behaviors to inform product strategy and participate in relevant industry events.

· Monitor product adoption through its lifecycle, identifying opportunities for consulting, cross-selling, and upselling.

Qualifications And Education Requirements:

· Bachelor’s degree in business, marketing or a related field.

· 10+ years of experience in hotel supply management, digital marketing, client management, or account management within the hospitality or travel industries.

· In-depth knowledge of hotel distribution systems, customer segmentation, and audience targeting techniques.

· Strong understanding of the digital advertising ecosystem, including programmatic advertising, DSPs, SSPs, and key performance metrics.

· Proven track record of managing high-profile clients and delivering successful multi-channel marketing campaigns.

· Strong understanding of hotel distribution systems, customer segmentation, and audience targeting techniques.

Preferred Skills:

· Expertise in analytics tools such as Google Analytics, Demandbase and Tableau.

· Experience with B2B SaaS solutions in the hospitality sector.

· Proficiency in Mandarin or other regional languages for APAC market engagement is advantageous.

Personal Attributes:

· Excellent communication and interpersonal skills to engage senior-level stakeholders and influence decisions.

· Strong presentation skills, capable of conveying complex ideas clearly to diverse audiences.

· Solid analytical skills, with experience using data to gain insights, guide strategies, and assess performance.

· Results-driven approach with resilience to overcome challenges.

· Self-motivated, effective in a highly matrixed global organization.

Why Sabre?

At Sabre, you'll have the opportunity to work on projects that make a real impact on the travel industry. You'll be part of a collaborative and innovative team that is dedicated to connecting people with moments that matter. Join us and help shape the future of travel.

Responsibilities:

• Assist Project Manager in all onsite technical, engineering matters and authority submissions
• Prepare submission of shop drawing, materials, method of statement, monthly progress claims and project management reports
• Lead in site coordination and execution relating to the construction project
• Planning of micro scheduling with other trades & disciplines against master programme
• Update structural / architectural / M&E progress with scheduling tools
• Supervise and monitor projects are carried out in accordance to company’s operating procedures, quality standards and contractual specifications
• Ensure supervisors & foremen meets clients’ regulatory work requirements
• Ensure compliance with Temporary Occupation Permit (TOP) checklist
• Responsible for all inspection activities being carried out
• Ensure environmental, safety and health practices are carried out at all times

Requirements:

• Degree in Civil or Structural Engineering recognised by Professional Engineers Board Singapore or Building and Construction Authority
• At least 5 years’ experience in building engineering projects
• Experience with Precast / Prefabricated Prefinished Volumetric Construction (PPVC) / Mass Engineered Timber (MET) projects will have an added advantage
• Completed Quality Mark (QM) project and a registered CoreTrade Foremen or Supervisor will have an added advantage
• Proficient in MS Office, AutoCAD and BIM
• Organised, meticulous with positive work attitude
• Able to work independently and a team player
• Excellent team player, good interpersonal skills and a “can-do” attitude
• Good analytical, supervision and communication skills
• Ability to multi-task in a fast paced and dynamic environment
• Mindset to work in a digital environment

Information provided in response to this job advertisement will be treated in strict confidence and be used for recruitment purpose only.

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

We are developing and executing a shared strategic vision for Loyalty & Marketing Services platforms and products that enable Visa to be the world-leading data-driven payments company. As a Data Engineer, you will be part of world-class team of Engineers to define, drive and execute on this vision. We are looking for a self-motivated individual with software engineering skills and expertise with Java, Web technologies & Big data. The candidate will be extensively involved in hands-on activities including POCs, design, development, testing, and documentation. Candidate must be flexible and willing to switch tasks based on team's needs.

Primary responsibilities will include:

• Design and develop mission-critical systems, delivering high-availability and performance
• Work on development of new products and enhancements to existing systems iteratively by building quick POCs and converting ideas into real products
• Work closely with architects, business and technical stakeholders to develop high quality products and services that meet business requirements and expectations while applying the latest available tools and technology
• Instill best practices for software development, and deliver high quality work on tight schedules
• Identify opportunities for further enhancements and refinements to standards and processes
• Coordinate Continuous Integration activities, testing automation frameworks, and other related items in addition to contributing core product code
• Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Basic Qualifications

• Bachelors degree, OR 3+ years of relevant work experience.

Preferred Qualifications

• 1 to 2 years of software development work experience along with a Bachelor’s degree, or 2+ years of work experience with an Advanced Degree in a technical field such as computer science, computer engineering, or a related field.
• Solid foundation in computer science with strong competencies in data structures, algorithms, and software design optimized for building highly distributed and parallelized systems.
• Proficiency in Java or Scala with strong design and coding skills.
• Hands-on experience with web technologies including Spring Boot, HTML, CSS, JavaScript, JSON, JQuery, and REST API.
• Practical knowledge of Angular.
• Working experience with Spring and Hibernate frameworks.
• Experience with Apache Spark is plus.
• Familiarity with Git/Stash, Ant, Maven, Jenkins, and Jira.
• Experience with database technologies like DB2, Oracle, SQL Server.
• Knowledge of Unix/Linux operating systems.
• Experience with Agile & DevOps methodologies.
• Excellent analytical and problem-solving skills with a strong automation mindset.
• Capability to handle multiple competing priorities in a fast-paced environment.
• Excellent written and verbal communication skills and the ability to effectively communicate logic and implementation plans to team members and managers.
• Self-starter, quick learner, and detailed and thorough.
• Experience in payment processing is a big plus.

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

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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

Job Responsibilities:

• Perform basic and advanced machine electrical wiring works
• Develop electrical testing jigs and perform testing and validation of machines
• Lead the production team to strictly adhere to production schedule and same time improving the manufacturing process to improve quality, cost, and productivity.
• Creates, implements, and monitors KPI indicators on product quality and section capability
• Provide shop floor feedback to Production Engineering and D&D Department
• Assist the Production Manager to provide quality, cost effective and efficient support for launching of new machine models
• Perform machine pre & post machine power ON inspection checks, machine parameter settings, testing and inspection according to standard
• Able to troubleshoot and resolve machine electrical non conformance
• Perform machine final electrical inspection and adjustments for any defects to maintain high level of quality
• Prepare reports on productivity, quality, claims, etc
• Work with engineering and other departments to improve assembly processes
• Monitor the serviceability of measuring electrical instruments or jigs and fixtures and reporting to Supervisor or Manager any non-compliance condition
• Maintain accurate records of inspection result at each electrical process

Job Requirements:

• Bachelor Degree or Min Diploma (Electrical) required
• 0-3years working in a machine assembly environment
• A good track record of supporting the department achieving KPI
• Strong understanding of 5S and HSE knowledge
• Able to work effectively in a fast and ever-changing stressful environment
• Maintain good Quality standards, 5S and safety discipline
• Well verse in Microsoft office (Excel, Words, Powerpoint and Outlook)
• Knowledge of drawing software(Solidworks, Unigraphic, etc) is added advantage

HOW TO APPLY:

Interested applicants, kindly click on “Apply Now” or send your resume in MS WORD format to hestia.wong(at)trustrecruit.com.sg

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Wong Ying Huan (Hestia)

EA Personnel Reg No: R24122431

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.

Responsibilities:

• Partner with sales teams to develop technical solutions, providing presales support and consultancy to understand client needs and translate them into viable solutions.
• Craft responses to technical specifications in Tenders and RFPs, advising on system configurations and best practices.
• Conduct product solution presentations and demonstrations, emphasizing enterprise data management technologies.
• Design and architect solutions, ensuring they align with industry standards and client requirements.
• Execute and manage Proof of Concept (POC) installations for customer evaluations.
• Facilitate seamless handover of solutions from presales to implementation teams.
• Directly engage with customers, presenting ideas and solutions persuasively.
• Maintain expertise in emerging technologies, participating in training and professional development opportunities.
• Mentor junior team members and share knowledge with the sales team to enhance technical understanding.

Qualifications:

• IT diploma with minimum 3 years in a consulting role, preferably in a Systems Integrator (SI) environment.
• Experience with virtualization solutions (e.g., VMware, Citrix) and data storage/backup technologies (e.g., Dell EMC, NetApp).
• Proficient in designing multi-tiered IT architecture solutions and familiar with leading IT solution vendors.
• Strong capability in managing IT solution projects for RFPs and Tenders, with a customer-focused and proactive attitude.
• Excellent communication and teamwork skills, with a preference for candidates with hands-on implementation experience and relevant professional certifications.

Tyson Jay Management Pte Ltd | EA License No.: 24C2479

Ivan Lim | EA Personnel No.: R1109856

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].