Total 1,489 electronic engineer job vacancies in Maintenance / Repair category in Singapore

Our client is from Oil and Gas industry, a local leading player. They are looking for a Senior Engineer, Instrumentation & Control for the next phase of their business. They are located in West.

Duties:

• Provide technical support for Production and Maintenance teams on instrument-related issues.
• Work with teams to reduce instrument maintenance costs and improve functionality.
• Coordinate with external stakeholders on gas pipeline networks, electrical grids, instruments, and metering interfaces.
• Update maintenance procedures for instruments, PLC, Fire & Gas systems, ESD, metering, CCTV, and security equipment.
• Conduct root cause analysis for instrument incidents and recommend preventive actions.
• Implement MOC projects to enhance instrument reliability and operational efficiency.
• Ensure verification, inspection, testing, and certification of electrical and instrument equipment in hazardous areas.
• Support maintenance and major equipment turnarounds.
• Manage the functional safety lifecycle of SIS in the terminal.
• Assist in expansion projects, ensuring facility integrity and seamless integration.
• Participate in emergency response with designated roles and responsibilities.

Requirements

• Min Bachelor’s Degree in Engineering related field.
• Min 5 years’ experience in Oil & Gas or Petrochemical industry
• Experience in instrument & control maintenance

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: [email protected]

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R2198636 (Oh Puey Xin)

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.

The Business Risk Integrated Control (BRIC) team is missioned to:

- Protect ByteDance users, including and beyond content consumers, creators, advertisers;

- Secure platform health and community experience authenticity;

- Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders.

The BRIC team works to minimize the damage of inauthentic behaviors on ByteDance platforms (e.g. TikTok, CapCut, Resso, Lark), covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti spam, API abuse, growth fraud, live streaming security and financial safety (ads or e-commerce), etc.

In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to making quick and solid differences.

Responsibilities

- Build machine learning solutions to respond to and mitigate business risks in ByteDance products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.

- Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups.

- Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis.

Qualifications

- Master or above degree in computer science, statistics, or other relevant, machine-learning-heavy majors.

- Solid engineering skills. Proficiency in at least two of: Linux, Hadoop, Hive, Spark, Storm.

- Strong machine learning background. Proficiency or publications in modern machine learning theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series or graph unsupervised learning.

- Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.

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 company is at the forefront of innovation in financial technology. Our mission is to develop AI-driven strategies that predict market trends.

We're looking for talented individuals to join our newly founded trading team in our Singapore office as Machine Learning Developers with a specialization in predictive finance.

Responsibilities:

• Develop and implement machine learning predictive models.
• Collaborate closely with team members to create data-driven trading strategies and algorithms.
• Conduct research on academic literature.
• Explore various data sources to craft insightful features for machine learning models.
• Continuously improve and monitor the performance of the ML models.
• Stay up-to-date with the latest trends in machine learning.

Qualifications:

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Mathematics, or a related field.
• Experience: 5+ years of experience in machine learning.
• Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
• Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
• Problem-Solving: Outstanding problem-solving skills with the ability to apply machine learning techniques to complex market data.
• Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

• Experience with time-series analysis and forecasting.
• Knowledge of the financial industry and experience working with big data.
• Independent research experience.

SUMMARY:

Responsible for the safe, reliable and cost effective maintenance and repair of the fleet and facilities by effectively planning and managing the workshop resources to maximise efficiency and productivity, in the process ensuring that scheduled work is completed on time and within budget, making due allowance for effectively dealing with the unscheduled work that arises during the course of daily operations. In meeting this prime objective, full compliance with all Company policies and procedures are mandatory with particular reference to health, safety and environmental legislation.

PRINCIPAL RESPONSIBILITIES AND AUTHORITIES:

• Responsible for running and updating the vehicle inspection, servicing and MOT plans on the computerised fleet management system.
• Responsible for allocating the details of the repeat and breakdown defects to the relevant Engineering Supervisor and ensuring that adequate remedial action is taken.
• Responsible for ensuring that all vehicle records are kept up to date and comply with all company policies, procedures and legislation.
• Identify and establish reasons for poor vehicle component performance, formally reporting such incidences to the Fleet Maintenance Manager with the full facts and implications.
• To manage and motivate the engineering team to achieve good standards of performance, level of commitment, awareness and motivation. Identify training and development needs and arrange appropriate training. Encourage staff to share their skills and knowledge.
• To develop and foster a culture of continuous improvement and problem solving amongst the engineering staff. In conjunction with technical personnel, strive for high levels of diagnostic skills to be attained.
• Undertake the delivery of regular tool box talks and team briefings to the engineering workforce documenting all such occasions and the attendees.
• Responsible for planning and controlling the engineering staff holidays and cover arrangements to ensure there are at all times sufficient levels of resource available on all shifts to meet the operational business requirements.
• Responsible for ensuring that adequate numbers of Engineering staff hold and maintain a valid vocational licence, planning for sufficient vocational licence holders to be on duty to provide adequate resource for workshop and on-the-road support throughout the traffic day.
• Develop the relationship between the stores and the workshop to promote cooperation. Arrange for the correct component parts to be available when scheduling vehicles for repair. Review stock levels to ensure they match demand without exceeding budgeted levels of stock holding.
• Monitor the performance of external contractors undertaking vehicle maintenance and repair to ensure quality of work and compliance with vehicle maintenance standards.
• Produce on a timely basis, engineering cost statements for use in third party insurance recoveries ensuring that all labour and material costs are accurately captured and documented.
• Consult with Trade Union Representatives with the objective of maintaining good industrial relations whilst exercising appropriate management leadership.
• Responsible for ensuring personal knowledge is maintained of all the relevant company policies and procedures and that they are adhered to at all times. Additionally, maintain a working knowledge of current legislation that is relevant to the engineering function.
• To provide cover for the Fleet Maintenance Manager, having available suitably trained support from an engineering supervisor to cover Workshop Planner duties.
• Contribute to the effective management of the engineering function on a day to day basis to develop and maintain good relations with the Operations Dept. who are ultimately the customer.
• Making sure of MAR result achieved at high rating.
• Undertake any additional reasonable duties at the request of the Line Manager.
• Undertake any training and development activities at the request of the Line Manager.

SKILLS, EXPERIENCE, CONDITIONS SPECIFICATION:

• Minimum of Diploma in engineering.
• Flexibility of working hours if effective control of the 24/7 engineering function is to be maintained.
• Man management, leadership and organisational skills are important and essential qualities that are relevant to the role.
• Computer literate with a broad knowledge of a range of software products.
• Knowledge of all the legislation relevant and necessary for running a safe and reliable vehicle fleet and engineering workshop.
• Conversant with the requirements that ensure safe and legally compliant operation of all workshop and depot plant and equipment.
• Experienced and competent in the use of computerised fleet and inventory management systems.

Our client is from Oil and Gas industry, a local leading player. They are looking for a Senior Engineer, Instrumentation & Control for the next phase of their business. They are located in West.

Duties:

• Provide technical support for Production and Maintenance teams on instrument-related issues.
• Work with teams to reduce instrument maintenance costs and improve functionality.
• Coordinate with external stakeholders on gas pipeline networks, electrical grids, instruments, and metering interfaces.
• Update maintenance procedures for instruments, PLC, Fire & Gas systems, ESD, metering, CCTV, and security equipment.
• Conduct root cause analysis for instrument incidents and recommend preventive actions.
• Implement MOC projects to enhance instrument reliability and operational efficiency.
• Ensure verification, inspection, testing, and certification of electrical and instrument equipment in hazardous areas.
• Support maintenance and major equipment turnarounds.
• Manage the functional safety lifecycle of SIS in the terminal.
• Assist in expansion projects, ensuring facility integrity and seamless integration.
• Participate in emergency response with designated roles and responsibilities.

Requirements

• Min Bachelor’s Degree in Engineering related field.
• Min 5 years’ experience in Oil & Gas or Petrochemical industry
• Experience in instrument & control maintenance

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: [email protected]

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R2198636 (Oh Puey Xin)

• Assist Engineers: Support engineers in conducting all test-related activities.
• Product Configuration Setup: Implement and manage various product configurations.
• Testing & Troubleshooting: Analyze and troubleshoot product failures, working closely with process and test engineers to improve yields.
• Documentation & Reporting: Maintain and update test tracking records and working instructions (W/I).
• Training & Onboarding: Train new hires on working instructions and procedures.
• ISO Compliance: Assist in ISO implementation and ensure standards are maintained.

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 team use the most advanced AI technology to combat various risks/violations in TikTok's e-commerce platform, maintain platform security, build a good e-commerce ecosystem, and empower business teams to improve work efficiency. We pursue the ultimate risk detection capability. The fairness and sustainability of the e-commerce ecosystem, high-quality content and merchandise are areas where we are constantly striving for improvement.

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

- Responsible for using algorithms to mine, identify, and predict risks and low-quality merchants, products, and creators in e-commerce scenarios, and assist businesses in managing and controlling them.

- Responsible for using algorithms to identify events and behaviors that affect product experience and efficiency, and building data models to help create a favorable ecosystem and support business operations.

- Participate in building data for various entities such as e-commerce live streaming/video, products, merchants, and creators, building large-scale network/feature sequence models to support business scenarios such as content understanding, multimodal representation, community mining, and solve problems related to products, live streaming, and video management, and provide support for them.

- Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within the TikTok e-commerce community.

- Explore and research cutting-edge technologies in machine learning/graph learning/sequence learning and related fields, implement these technologies in practical business scenarios, and support the production of scalable and optimised machine learning models.

Qualifications

Minimum Qualifications

- Final year Ph.D or recent Ph.D graduates in Computer Science, engineering or quantitative field.

- Solid coding skills, familiar with deep learning/graph neural network/machine learning frameworks such as PyTorch, TensorFlow, DGL, pyg, sklearn, etc.

- Familiar with one or more algorithms in machine learning/graph learning/sequence learning, such as graph modeling, timing signal modeling, node/subgraph classification, community mining, representation learning, self-supervised/semi-supervised learning, with a certain depth and breadth.

- Relevant industry experience with solid theoretical foundation of machine learning.

Preferred Qualifications

- Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.

- Published papers in high-level computer science conferences (ACL, EMNLP, NIPS, AAAI, etc.) or have competition experience are preferred.

- Familiar with the application of related algorithms in data mining, search recommendation, content understanding, and governance risk control preferred.

- Skilled in numpy and pandas for modeling experiments, familiar with big data tools such as Hive, Spark, Hadoop preferred.

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].

• Working hours: 5-days (Mon to Fri) / 8 am to 4.30pm
• Location: Jurong Island (Company transport provided near Jurong
• East MRT)
• Salary Range: $4500 - $5500

Maintenance Engineer (Mechanical) reports to the Senior Technical
Manager and whose responsibilities include:

1. Oversee, manage, and supervise Company’s in-house and external
Contractors for all mechanical maintenance works related to planning
and execution of:

(a) daily maintenance [preventive, corrective, & breakdown
maintenance],
(b) transition maintenance,
(c) turnaround maintenance and
(d) upgrading and improvement related to maintenance

2. Ensure all mechanical maintenance activities are carried out in
accordance to the Company’s HSEQ Standards & Maintenance
Management System, statutory requirements and best industry practices.

3. Establish, continually improve & execute Company’s maintenance
management system in a safe, efficient, and effective way to achieve
highest equipment reliability & availability objective.

4. Update and maintain accurate maintenance records in order to
provide good maintenance history for data analysis and troubleshooting
purposes.

5. Conduct root cause analysis to eliminate equipment/ system defect
and take appropriate preventive/ corrective measures.

6. Optimize & manage mechanical maintenance inventory level of critical
& non-critical equipment spare parts.

Requirements:

• Degree in Bachelor of Mechanical Engineering
• Familiar with Static and Rotating equipment
• Minimum 3 years of experience in Chemical Process Plant.

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

The Supreme HR Advisory Pte. Ltd || 14C7279

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

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 team use the most advanced AI technology to combat various risks/violations in TikTok's e-commerce platform, maintain platform security, build a good e-commerce ecosystem, and empower business teams to improve work efficiency. We pursue the ultimate risk detection capability. The fairness and sustainability of the e-commerce ecosystem, high-quality content and merchandise are areas where we are constantly striving for improvement.

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

- Responsible for identifying algorithms for risk/violation/low-quality issues in e-commerce scenarios such as products, shopping cart short videos, and live streaming with products.

- Responsible for mining and identifying algorithms to detect fraudulent behaviors and identify risky, violated, or low-quality merchants and creators.

- Responsible for optimizing algorithms for large-scale brand libraries, products, and content deduplication/clustering.

- Responsible for data construction, instruction fine-tuning, CoT, alignment, and other work for large models in the e-commerce domain, aiming for ultimate effect optimization in the e-commerce domain.

- Responsible for exploring reinforcement learning and operational research algorithms in intelligent dispatching and intelligent audit scheduling to improve audit quality and efficiency.

Qualifications

Minimum Qualifications

- Final year Ph.D or recent Ph.D graduates in Computer Science, engineering or quantitative field.

- Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience.

- Familiar with 1-2 areas in natural language processing, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM.

- Excellent analytical and problem-solving skills, passionate about challenging problems.

- Good team spirit and strong communication skills.

Preferred Qualifications

- Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.

- Published papers in high-level computer science conferences (ACL, EMNLP, NIPS, AAAI, etc.) or have competition experience are preferred.

- Candidates who have practical experience in DALL-E, CLIP, GLIDE and other related projects are preferred.

- Candidates who have good performance in international competitions in related fields ( such as VQA, Image Captioning/Retrieval) are preferred.

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].

Location: Tuas Link
Working hours: Mon to Fri, 8am to 5pm
Salary: Up to $4,000

Job scope:
• Oversee the maintenance of the building, facilities and security of the site.
• Coordinate and perform inspections, testing, routine maintenance and repairs on all site equipment (such as electricity, fuel & water supply, HVAC, security and fire safety systems).
• Provide updates to the Facility Manager regarding issues to be addressed, ensuring that critical systems are fully operational.
• Liaise and supervise contractors on-site during maintenance and repair activities.

Requirements:
• Min. Diploma in facilities management or any relevant engineering discipline
• Singaporean or PR only

Please email your updated resume with your last drawn salary, notice period and expected remuneration to [email protected] to apply.

Sylvie Yong (R1769137)
The HR Ecology Pte Ltd (13C6391)

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

Our client is from Oil and Gas industry, a local leading player. They are looking for a Senior Engineer, Instrumentation & Control for the next phase of their business. They are located in West.

Duties:

• Provide technical support for Production and Maintenance teams on instrument-related issues.
• Work with teams to reduce instrument maintenance costs and improve functionality.
• Coordinate with external stakeholders on gas pipeline networks, electrical grids, instruments, and metering interfaces.
• Update maintenance procedures for instruments, PLC, Fire & Gas systems, ESD, metering, CCTV, and security equipment.
• Conduct root cause analysis for instrument incidents and recommend preventive actions.
• Implement MOC projects to enhance instrument reliability and operational efficiency.
• Ensure verification, inspection, testing, and certification of electrical and instrument equipment in hazardous areas.
• Support maintenance and major equipment turnarounds.
• Manage the functional safety lifecycle of SIS in the terminal.
• Assist in expansion projects, ensuring facility integrity and seamless integration.
• Participate in emergency response with designated roles and responsibilities.

Requirements

• Min Bachelor’s Degree in Engineering related field.
• Min 5 years’ experience in Oil & Gas or Petrochemical industry
• Experience in instrument & control maintenance

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: [email protected]

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R2198636 (Oh Puey Xin)

• Supporting deployment of on-site data centre physical infrastructure.
• Installing, replacing and troubleshooting Cables and Hardware.
• Handling data bearing devices (ex. hard drives, solid-state drives, etc.)
• Working within a ticket-based environment.
• Movement of equipment using pallet jacks or other assisted lifting equipment.
• As required, assisting the Datacentre Inventory and Asset Management Team (DIAT) with shipping/receiving and inventory management to address high work volumes.
• Flexibility to work non-standard business hours that may include weekends and/or holidays

Requirements

• Diploma / Degree in IT / Computer Engineering or equivalent
• 1 year of experience in IT Support & Monitoring

Skill sets:

• Basic knowledge of computer hardware and components.
• Six (6) months or more handling/maintaining any technical equipment or machinery.
• 1+ years’ experience supporting IT equipment or related technology.
• Applicable certifications: CompTIA (A+, Server+, Network+), Basic Structure Cabling (BSC).
• Ability to support frequent standing, walking, lifting, and working at heights with or without equipment assistance.
• Able to communicate effectively.
• Desire to learn, grow, and develop new technical skills

RF Unit

• Disassemble Signal generator unit and Calibrate the unit according to SOP
• Troubleshooting and repair of PCB assemblies
• Soldering work and board rework on HD, surface-mount PCB assemblies
• Provide necessary fault information and repair records for work carried out
• Knowledge of handling different test and measuring equipment, LCR meter and Oscilloscope
• Complete repair job in a timely manner
• Maintain SOP documents required for daily repair/rework operation

Remuneration: Basic with AWS & VB

+ $120 Transport Allowance + $66 (Flexible Benefit Allowance) + eMedical Card (cover spouse + children under 18)

Work location: MacPherson

Working hours: Monday to Friday

Job Description:

• Responsible for planning and implementing the execution of preventive and corrective programs within schedule in compliance to regulatory standards and requirements.
• Perform troubleshooting/ faut diagnosis/ failure analysis to determine cause of failure for equipment.
• Development of Standard Operating procedures (SOP) and Work Instructions (WI) to technicians to develop their competence.
• Develop and perform Risk Assessments to evaluate mitigation measures for all maintenance activities.
• Establish and maintain proper document system to achieve all jobs internally for sharing and audit purposes.
• Assist in identification, planning and reviewing of necessary training needs for mentoring and coaching of maintenance staffs.
• Preparation and write maintenance and spares consumption report.
• Perform other duties as instructed by Management.

Job Requirements:

• Degree in Maintenance Engineering or related discipline
• 2–3 years of relevant work experience
• Ability to relate work with different stakeholders
• Proficiency in Excel, Words and Powerpoint
• Able to think and work independently and as a team member in a challenging environment

Daniel Wilson | Reg No.: R24125247

Recruit Now Singapore Pte Ltd | EA Licence No.: 21C0845

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.

Responsibilities:

• To provide on-site service of equipment sold
• To set up and install smart home devices
• To provide a weekly update on the jobs done to Manager
• On Site installation and commissioning co-ordination of smart home system, security system and autogate system
• Troubleshooting / maintain / servicing at clients’ premises
• Able to trace / rectify root cause
• Pro-actively support other tasks (including ad-hoc projects) as assigned
• Setup and install Smart Home Systems suchs as Google Home/Alexa systems
• Setup rules and logic for smart home system
• Install smart home devices such as BOSCH fridge, LG/Samsung TV, Sonos Sound system, Broadlink, Xiaomi, Mi Home etc.
• Setup Networking solutions within client's home
• Managing inventory and preperation for on site implementation
• Plan and solution for smart home solutions
• Plan and solution for networking solutions
• Plan and solution for CCTV solutions
• Engage & manage vendors for on site implementation

5.5 Days work week

We are seeking a maintenance engineer for our client ST Engineering.

Job Title: Maintenance Engineer

Responsiblities

Involve in one or more teams in supporting and upkeeping our Satellite Communication systems running smoothly through

• Troubleshooting works, of integrated systems consisting of electrical, mechanical and electronic subsystems in both indoor and outdoor environment

• Workshop bench test to troubleshoot faulty Radio Frequency and baseband equipment using common engineering tools and support test equipment

• Technical writing of Acceptance Test Procedures (ATP) of Radio Frequency and baseband equipment

• Technical writing of documents like work instructions and manuals

• Proficient in the use of support test equipment like multimeter, spectrum analyzer and power meter

• Proficient in operating simple tools

• Able to understand Radio Frequency Engineering drawings or Electrical circuits

• Supporting of overseas exercises when called for

Requirements

• Diploma in Engineering in Electrical/Electronics and Communication / Information Technology or equivalent

• Possess at least 5 years of maintenance/operating experience on the Satellite Communication system or with Alcatel/Cisco switch and router networking and Information Technology administration experience

• Ability to learn and pick up skills quickly

• Good leadership

• Self-motivated

• Possess Class 3 driving license is an added advantage

• Standby/recall duties are required on the rotational basis

• Must be willing to travel at short notice

• Working location is in Ang Mo Kio

• Singaporeans Only

Please click apply, or submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Goh Kwan Way Marc

EA License No : 06C4642

EA Reg No : R24120754

We regret that only shortlisted candidates will be notified.

• Well Established Company
• Basic $3000 - $3800 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: West
• Working day: Monday to Friday
• Working hours: 8.15am to 5.15pm

Job Responsibilities:

• Responsible for outdoor and indoor repair work of all cleaning products
• Mechanical preventive maintenance - verify mechanical faults, replacement of spare parts and repair
• Work closely with service technicians for problem solving and coordinating jobs between field service and workshop repairs
• Any ad hoc duties as assigned

Job Requirements:

• Possess at least a Professional Certificate/ Nitec in any Electrical & Electronic or Mechatronics Engineering or relevant qualification
• Experience in repair of forklifts, automobiles, heavy industrial equipment, and knowledge in engines, motors and electrical would be relevant and useful

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

Leong Wei Ling (R23117584)

EA Recruitment Pte Ltd

EA License No: 21C0492

Our client is from Oil and Gas industry, a local leading player. They are looking for a Senior Engineer, Instrumentation & Control for the next phase of their business. They are located in West.

Duties:

• Provide technical support for Production and Maintenance teams on instrument-related issues.
• Work with teams to reduce instrument maintenance costs and improve functionality.
• Coordinate with external stakeholders on gas pipeline networks, electrical grids, instruments, and metering interfaces.
• Update maintenance procedures for instruments, PLC, Fire & Gas systems, ESD, metering, CCTV, and security equipment.
• Conduct root cause analysis for instrument incidents and recommend preventive actions.
• Implement MOC projects to enhance instrument reliability and operational efficiency.
• Ensure verification, inspection, testing, and certification of electrical and instrument equipment in hazardous areas.
• Support maintenance and major equipment turnarounds.
• Manage the functional safety lifecycle of SIS in the terminal.
• Assist in expansion projects, ensuring facility integrity and seamless integration.
• Participate in emergency response with designated roles and responsibilities.

Requirements

• Min Bachelor’s Degree in Engineering related field.
• Min 5 years’ experience in Oil & Gas or Petrochemical industry
• Experience in instrument & control maintenance

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: [email protected]

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R2198636 (Oh Puey Xin)

Responsibilities:

• Prepares key project documentation in executing the complete instrumentation engineering scope of work as per the project requirements in meeting customer’s expectations
• Prepares instrumentation system concepts, schedule of deliverables and plan activities in line with overall project schedule, delegate the tasks to instrumentation team member assigned to the project and monitor the progress
• Leads instrumentation team to prepare documents, such as design philosophies, block diagrams, room layout and deck arrangement
• Leads instrumentation team to perform system design verification, such as F&G coverage, calculation
• Leads instrumentation team to prepare procurement engineering documents, such as technical specifications, equipment data sheets, MTO, technical bid evaluation etc
• Participates in project meeting/technical meeting/3D model review/Workshop, attends to basic technical queries and issues related to Instrumentation design and reviews the deliverables (i.e.VCD, third party study report, workshop report etc)
• Participates and support for functional safety assessment review such as CHAZOP, ICSS design review, Alam review, digital security review etc
• Liaises with owners, statutory and classification authorities for design compliance review and approval on the proposed project plans in meeting project requirements
• Generates reports on work progress and submits to senior team members for review and approval before submitting to owners, statutory and classification authorities for approval and maintains project database for future references
• Performs technical studies in cooperation with production team members and Instrumentation vendors for conversion project and/or repair & life extension project
• Works with procurement and project team to source for instrumentation vendors in complying with the project technical requirement specifications in meeting project deliverables
• Prepares engineering deliverable such as block diagram, termination diagram, room & equipment layout in compliance with requirements of contract, classifications and regulations and coordinate with various disciplines for material handling, working environment requirement, constructability and installations, operations and maintenance, and safety etc
• Provides solutions to commercial, production and project team members on all aspects of instrumentation engineering to support new-built’s/conversion fabrication, installation, testing and commissioning activities
• Performs any other duties as assigned by superior(s) from time to time

Requirements:

• Bachelor’s degree in Electrical / Electronics / Instrumentation Engineering or related engineering disciplines
• 3 years of working experience in planning, designing and construction of Instrumentation design in the oil and gas industry
• Experience in Instrumentation and Control system design in Pre-FEED, FEED, EPCC, Conversion and Repair & Life Extension
• Familiarity with USCG and BSEE requirements will be an additional advantages
• Excellent proficiency in English (written and spoken)

Our Addresses and Working Hours:

Seatrium (SG) Pte. Ltd.

(Tuas Boulevard Yard)

80 Tuas South Boulevard, Singapore 637051

(Islandwide transport provided)

Mon - Thu: 8:00am - 5:15pm

Fri: 8:00am - 4:30pm

Interested candidates are invited to send us an updated resume with your current and expected salary and earliest availability.

We regret that only shortlisted candidates will be notified.

Please note that your personal data disclosed to Seatrium (SG) Pte. Ltd. and our group of companies, shall be used for the purposes of evaluation, and processing in accordance with our recruitment processes and policies. By providing your personal data, you have consented to the aforesaid purpose under the provisions of the Personal Data Protection Act 2012.

Our client, an established EPC contractor in the Oil & Gas/Petrochemical Industry, is seeking for a Lead Instrument Engineer to join their team.

Responsible for the analysis and preparation of specifications and construction drawings, design documents for process and industrial plants in accordance with project specification schedule and customer requirements.

Job Responsibilities:

• Responsible for field instrument and control system design work.
• Able to lead small/medium size projects within budgeted MH, cost and project schedule.
• Prepare and review field instruments, Analyzer, Control Systems (DCS, ESD, F&G etc) specification, requisition, TBE, vendor document review.
• Prepare and review construction drawings such as Index, IO List, Location layout, hook-up, cable routing, loop diagram etc. based on project specifications.
• Evaluate and select suitable instruments for required process control/monitoring application.
• Lead the estimation work of BMBQ, Man-hour, technical proposal writeup, for new tender project.
• Preparation of project monthly report and attending project & client meeting as required.
• Work collaboration with other GEC and monitor daily job task assignment.
• Perform FAT/inspection for control system and field instruments as required.
• Perform SAT, Loop check, site construction and commissioning support as required.

Job Requirements:

• Bachelor’s degree in chemical engineering, Electrical and Electronic Engineering or Instrument and Control Engineering.
• 15 years’ experience in instrument and control system design work.
• Knowledge and experience in Field Instrument Engineering as well as Control System, e.g. DCS, ESD, F&G.
• Able to work at construction sites to support construction, pre-commissioning and commissioning activities.
• Good interpersonal and communication.

Interested applicants, please click "APPLY NOW" or send your resume to [email protected]

We regret to inform you that only shortlisted candidates will be notified.

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Kalaivani D/O S. Arumugam | EA Reg No: R2196515

We are looking for an Asst Engineer / Engineer to be part of one or more teams in supporting and maintaining systems, keep them up and running smoothly 24/7. The Asst Engineer / Engineer should have broad technical skills and a working background in the System-Level Maintenance in the following disciplines, Radio Communications, basic networking skills, computer/servers, embedded systems and/or UPS.

Responsibilities:

Involve in one or more teams in supporting and maintaining systems, keep them up and running smoothly

Report to the Team Lead/Service Delivery Manager and in fulfilling SLA and KPI in accordance to maintenance contractual agreement.

Assist Team Lead/Service Delivery Manager to deliver contract obligation within budget.

Able to operate and thrive in a dynamic work environment where you are required to liaise with both internal and external stakeholders.

To perform routine Preventive Maintenance in accordance with the maintenance instructions / procedures.

To carry out Corrective Maintenance in accordance with the maintenance instructions / procedures, involving fault troubleshooting, diagnosis & replacement of equipment/module/component at sites and/or workshop.

Liaison with procurement and equipment vendors.

Perform 24/7 off-site standby for fault activation after office hours.

Arrange and attend monthly meeting with customers.

Provide engineering services such as engineering reports, supply support, configuration control and management and obsolescence management.

Provide solutions to technical problem associate with RF communication systems.

Required to travel to sites for work

Requirements

• Minimum of Diploma in Electronics/Mechatronics/Computer Engineering or equivalent (candidates with lesser academic qualifications may be considered)
• Minimum of 2-3-year experience in a similar engineering-related capacity. Fresh graduates may be also considered.
• Positive work ethics and team player.
• Takes ownership of responsibilities.
• Thrive in multi-disciplinary and cross-functional environments
• Able to work effectively in an indoor and outdoor environment.
• Preferably with some knowledge in Data Analytics (e.g. failure trending/patterns)
• Preferably with experience in System-Level Maintenance in the following disciplines is highly preferred (Radio Communications, basic networking skills, computer/servers, embedded systems and/or UPS). Other Engineering-related experience maybe considered.
• Proficient in MS Office (Words, Power-point & Excel)
• Preferably with Class 3 Driving License

Responsibilities:

• Ÿ Involved in the research and development for various cutting-edge machine learning, deep learning, computer vision, computer graphic and natural language processing algorithms.
• Ÿ Able to identify and source relevant conference papers, analyze and extracting valuable insights and understanding the implications of the research
• Ÿ Collaborate with engineer team and advance AI algorithms performance in various applications.

Requirements:

• Ÿ Min. Bachelor degree in the area of Machine Learning, Deep learning, Computer Vision, Computer Graphics, Natural Language Processing or similar area.
• Ÿ Solid foundations of maths and algorithms: probability statistic, linear algebra, geometry, optimization method, image processing, 3D modeling, .etc.
• Ÿ 3-5 years’ experience in machine learning algorithm design and implementation and excellent skills in at least one of machine learning/deep learning tools such as Tensorflow, Pytorch, MxNet, .etc.
• Publications in top-tier ML conferences or journals is preferred

Next Step

Click “apply” or send resume to: Ryce [email protected]

EA Licence No.91C2918| Personnel Registration No. R23117258

COMPANY DESCRIPTION

Located on Jurong Island, the petrochemical hub of Singapore, SRC operates a refinery that is capable of processing 290,000 barrels of crude oil per day to produce fuel products and chemical feedstocks that are supplied to domestic markets and overseas export markets under the brand labels of its shareholders.

RESPONSIBILITIES

• Lead and supervise a group of Technicians/Technical Assistants and manage contractors in the execution of refinery maintenance activities.
• Implement reliability programs and develop maintenance procedures for instrumentation & electrical equipment to facilitate consistent execution of maintenance tasks.
• Investigate instrument & electrical equipment failures or malfunctions in order to identify root causes of problems as well as recommend and implement solutions.

• Degree in Electrical and Electronics Engineering.

• 2 years' relevant experience in oil refinery/petrochemical or related industries. Candidate without relevant experience may be considered for entry-level position.
• Knowledge of DCS, PLC and ESD systems is preferred.