Total 376 technical engineer job vacancies in Maintenance / Repair category in Singapore

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.

About VSMC

VisionPower Semiconductor Manufacturing Company Pte Ltd (VSMC) is a established joint-venture dedicated to building a 300mm semiconductor wafer manufacturing facility in Singapore. We are seeking passionate, resilient, and dedicated professionals to help us launch a promising future that will power the next generation of devices and systems. If you share our commitment to excellence and want to make a lasting impact, join us and be part of something extraordinary!

Key Responsibilities

• Lead the conceptual design and RFP preparation for the Tool Hookup in a 300mm semiconductor fabrication plant.
• Supervise and track the design progress of Tool Hookup contractors and design consultants.
• Manage on-site construction schedules and oversee the commissioning of the Tool Hookup package.

Education Qualification & Essential Experiences

• Bachelor's degree in Electrical/Electronic Engineering or a related field.
• At least 6 years experience in Tool Hookup within 300mm semiconductor fab facility.
• Familiar with 3D CAD design, Tool Hookup Connection, platform installation and tool move in are preferable.
• Proficient in computer software such as Microsoft Office, Microsoft Project, AutoCAD, Autodesk Revit etc.
• A proactive attitude and strong teamwork skills, with experience in construction projects.

Key Skills and Attributes

• Strong interpersonal and communication skills, with the ability to collaborate effectively across functions and teams from diverse backgrounds.
• Excellent analytical and problem-solving abilities, focused on delivering positive outcomes.
• Goal-oriented and a team player, able to perform under pressure in a fast-paced, dynamic environment.
• A growth mindset, prioritizing adaptability, resilience, innovation, and continuous learning to meet business needs.

VSMC promotes diversity and inclusivity in our workforce; and hiring will be conducted in phases.

• Provide support in organizing and overseeing day-to-day facility upkeep to keep project activities on track.
• Coordinate project timelines and deliverables with clients, consultants, and subcontractors for timely completion.
• Perform on-site inspections to monitor work progress, conduct quality checks, and provide feedback for improvements.
• Support the preparation and submission of technical drawings and related project documentation.
• Handle administrative duties linked to project activities and provide on-site support when necessary.

Requirements:

• Diploma in Mechanical, Electrical Engineering, or equivalent
• At least 2 years of experience in the M&E/Construction Industry.
• Advantageous to have relevant safety certifications.
• Able to work independently and under tight deadlines.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

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

EA Licence: 19C9701
Registration: R1326740

ABOUT THE ROLE

You will own end-to-end delivery of trading systems — from design and backtest through to live deployment — working across our brokerage's full stack of algorithmic trading, risk management, and market infrastructure. Alongside experienced quants and treasury, you will operate on real capital in live markets across multiple asset classes.

This role suits a self-starter with 3–5 years of production experience who is comfortable taking full ownership of projects, making architectural decisions, and iterating quickly in a fast-moving trading environment.

WHAT YOU WILL BE DOING

• Design and implement live trading systems covering flow analysis, hedging algorithms, position management, and real-time risk controls

• Own the full development lifecycle of quantitative infrastructure: strategy research, backtesting, simulation, and production deployment

• Develop pricing models, hedging systems, and portfolio optimization algorithms grounded in mathematical finance

• Build and maintain real-time market data pipelines and trading API integrations across exchanges, brokers, and liquidity providers

• Create production monitoring and analytics dashboards to track trading performance, system health, and market conditions

• Apply ML and AI agent techniques — signal generation, anomaly detection, pattern recognition, autonomous strategy workflows — where they create measurable edge

• Drive reliability and scalability improvements across existing trading infrastructure

WHAT YOU NEED TO BE SUCCESSFUL

Core requirements:

• Bachelor's or Master's degree in Computer Science, Financial Engineering, Mathematics, Physics, Statistics, or a related quantitative field

• 3–5 years of professional experience owning quantitative systems in production — backtesting frameworks, execution algorithms, or risk management systems — at a brokerage, fintech, or trading firm

• Expert-level Python with deep command of numpy, pandas, scipy, asyncio and numba; proven track record of performance-tuning production-grade numerical code

• Solid grasp of financial markets: trading mechanics, order types, market microstructure, and exchange API integration (e.g. Binance, OKX, Bybit, or similar)

• Hands-on experience with real-time data streaming: WebSocket, message queues (Kafka or equivalent), and low-latency system design

• Strong mathematical foundation with ability to implement quantitative models and statistical methods from research papers

• Working knowledge of P&L calculation, position sizing, portfolio risk metrics, and core derivatives pricing concepts

• Comfortable with agentic coding workflows (e.g. Claude Code, Cursor, or similar) and experienced in reviewing, validating, and shipping AI-generated code into production — including testing, code review discipline, and knowing when not to trust the model

• Self-motivated with ability to take full ownership from design through production deployment with minimal direction

Bonus if you also have:

• Understanding of derivatives products (options, futures, perpetuals) and margin trading mechanics — margin requirements, liquidation risk, funding rates

• Familiarity with ML frameworks (scikit-learn, XGBoost, or similar) and their application to financial prediction problems; experience building or orchestrating AI agents in a production context is a strong plus

• Experience with brokerage operations, cryptocurrency trading systems, arbitrage strategies, or cross-exchange workflows

• Knowledge of market-making, liquidity provision, or systematic trading strategies in live environments

• Contributions to quantitative finance open-source projects or published research
  
  Take the next step - submit your application here:
  https://pluanghrms.darwinbox.com/ms/candidatev2/main/careers/jobDetails/a69df2139b5e67?from=all

WHAT SUCCESS LOOKS LIKE

In your first 90 days, you will own at least one live system improvement deployed to production — whether a latency reduction, a new hedging signal, an improved risk control, or a data pipeline upgrade. Within six months, you will be the primary technical owner of one or more core trading systems, with full visibility into their performance and a roadmap for future development.

Your Mission

This position is responsible for the operation, maintenance, and improvement of building facilities. The role includes identifying and resolving issues across various spaces, ensuring functionality and safety. It also involves cross-departmental communication, particularly with headquarters, to align operational needs with strategic initiatives.

As part of the General Affairs team, this role covers a range of business support functions, including safety and security operations, and requires the ability to plan and execute new projects under management’s direction.

What To Expect

[Facility Management]

• Develop and report annual and mid-/long-term plans for facility inspections and maintenance.
• Compile and submit performance reports (monthly, quarterly, annually) on facility operations.
• Manage facility maintenance and renovation projects according to project type.

[Construction Project Management]

• Review and approve master plans, drawings, schedules, specifications, and cost estimates.
• Coordinate and resolve design conflicts across projects.
• Oversee bidding processes, including plan approval, result confirmation, and contractor selection.
• Monitor and adjust construction timelines as needed.
• Supervise on-site activities, ensuring compliance with safety, quality, and regulatory standards.
• Approve completion inspections and authorize final payments.
• Maintain and manage a network of architects, contractors, and supervisors.

[Cross-functional & Strategic Support]

• Execute directives and strategic tasks assigned by management, ensuring timely and accurate delivery.
• Support team-wide operations, collaborating with General Affairs members to manage shared responsibilities such as safety, security, and administrative tasks.
• Facilitate communication between departments and headquarters to coordinate projects and ensure operational alignment.

[Decision-making & Problem Solving]

• Gather and evaluate input from stakeholders (internal teams, external contractors, management, etc.) to make well-informed decisions.
• Apply critical thinking and analytical skills to assess complex situations and determine the most effective course of action.
• Ensure all decisions align with organizational goals, supporting efficiency, safety, and cost-effectiveness.

[Energy Management]

• Develop and implement a roadmap to achieve RE100 commitments, comply with local energy regulations, and meet sustainability frameworks.
• Track, measure, and report renewable energy usage and carbon reduction progress.
• Identify opportunities in clean energy technologies, storage solutions, and efficiency improvements.
• Recommend digital solutions (IoT, AI, energy monitoring platforms) to improve efficiency.

What You'll Bring

• Bachelor’s degree in a relevant field.
• At least 5 years of experience in building maintenance and expansion management.
• Demonstrated success in leading maintenance and expansion projects.
• Proficiency in building design software (e.g., AutoCAD, SketchUp, BIM, or other 3D rendering tools).
• Proficiency in construction quantity estimation and cost calculation tools.
• Excellent communication skills, with the ability to liaise effectively with internal teams and external stakeholders (employees, architects, licensing agents, contractors, and construction supervisors).

Job Description:

• In charge of conducting maintenance training on machinery and equipment for end users.
• Responsible for performing preventive maintenance on machinery used in production department.
• In charge of planning and performing tasks related to facilities, upgrading and repairing machinery and equipment.
• Responsible for troubleshooting machinery malfunctions.
• Take charge of maintaining updated records of repairs and completed preventative maintenance work.
• Responsible for identifying and purchasing critical spares for preventive maintenance.
• Responsible for identifying probable causes of potential failure of machinery & equipment and arrange for preventive repair and replacement to minimize machine downtime.
• In charge of maintain good housekeeping practices in maintenance work area and stores.
• Responsible for ensuring Compliance of in-house safety rules and procedures by all vendors
• In charge of supervising contractors performing maintenance jobs
• Perform related duties as assigned.

Job Requirement:

• Min Diploma in Electrical/Mechanical/Precision/ Manufacturing Engineering or related discipline.
• Min 5 years working experience in CNC machines and equipment maintenance and repair works in the manufacturing environment
• Min 5 years working experience in building facilities in the manufacturing environment

To submit your application, please apply online apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Position Overview

The AI / Machine Learning Engineer will be responsible for the development and implementation of AI-driven solutions and software systems for the company’s maritime digital platform. The role involves designing intelligent data processing systems, developing machine learning models, and integrating AI capabilities into the company’s SaaS products.

This position requires strong technical expertise in software engineering, artificial intelligence, and data analytics, and will contribute to the development of scalable technology solutions supporting maritime operations and digital services.

Key Responsibilities

1. Artificial Intelligence & Machine Learning Development

• Design, develop, and implement machine learning models for predictive analytics, anomaly detection, and operational insights.
• Conduct data preprocessing, feature engineering, and model evaluation to ensure model accuracy and performance.
• Deploy machine learning models into production environments and integrate them into the company’s software platforms.
• Research and evaluate emerging AI and machine learning technologies to improve product capabilities.

2. Software Engineering & System Development

• Design, develop, and maintain backend systems, APIs, and software modules supporting the company’s digital platform.
• Develop scalable and efficient software applications following industry-standard software engineering practices.
• Implement system integration with internal systems, external services, and third-party APIs.
• Maintain proper version control, documentation, and code quality standards.

3. Data Engineering & Analytics

• Develop and maintain data pipelines for processing operational and system data.
• Design and manage data structures and databases required for AI and analytics applications.
• Perform data analysis to support product development and operational decision-making.

4. System Architecture & Deployment

• Contribute to the design of scalable and secure system architecture for AI-enabled SaaS platforms.
• Support the deployment and maintenance of systems in cloud-based environments.
• Monitor system performance and optimize application efficiency and reliability.

5. Technical Collaboration & Product Development

• Work closely with product managers, engineers, and business teams to translate operational requirements into technical solutions.
• Participate in product design discussions and contribute to the development of AI-powered features and automation tools.
• Provide technical insights for continuous product improvement and system innovation.

6. Technical Documentation

• Prepare and maintain technical documentation, system architecture diagrams, and development specifications.
• Ensure proper documentation of system configurations, development processes, and updates.

Minimum Qualifications

• Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field.
• Strong programming skills in Python, Java, or similar programming languages.
• Experience in machine learning model development and deployment.
• Experience in software development, API integration, and database management.
• Familiarity with AI frameworks or libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Knowledge of cloud computing platforms or distributed systems architecture.
• Strong analytical and problem-solving abilities.

Preferred Qualifications

• Experience in deploying machine learning models in production environments.
• Experience working with large-scale datasets and real-time data processing.
• Familiarity with cloud infrastructure platforms such as AWS, Azure, or Google Cloud.
• Experience in SaaS platform development.
• Knowledge or interest in maritime, shipping, or logistics operations.

Job Description:

• In charge of conducting maintenance training on machinery and equipment for end users.
• Responsible for performing preventive maintenance on machinery used in production department.
• In charge of planning and performing tasks related to facilities, upgrading and repairing machinery and equipment.
• Responsible for troubleshooting machinery malfunctions.
• Take charge of maintaining updated records of repairs and completed preventative maintenance work.
• Responsible for identifying and purchasing critical spares for preventive maintenance.
• Responsible for identifying probable causes of potential failure of machinery & equipment and arrange for preventive repair and replacement to minimize machine downtime.
• In charge of maintain good housekeeping practices in maintenance work area and stores.
• Responsible for ensuring Compliance of in-house safety rules and procedures by all vendors
• In charge of supervising contractors performing maintenance jobs
• Perform related duties as assigned.

Job Requirement:

• Min Diploma in Electrical/Mechanical/Precision/ Manufacturing Engineering or related discipline.
• Min 5 years working experience in CNC machines and equipment maintenance and repair works in the manufacturing environment
• Min 5 years working experience in building facilities in the manufacturing environment

To submit your application, please apply online apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd.

EA License No: 17C8900

Job Description

• Industry/ Organization Type: Precision Engineering
• Position Title: Maintenance Engineer
• Working Location: Bukit Batok
• Working Hours: 5 days (Mon – Fri, 8.00am – 5.30pm)
• Salary Package: Basic salary up to $3,000 + Variable Bonus + OT
• Duration: Permanent Role

Key Responsibilities

• Create and execute regular maintenance plans for all machinery and equipment.
• Identify and fix issues with mechanical, electrical, and pneumatic systems in CNC machines and other equipment.
• Help with setting up and starting new equipment.
• Keep detailed records of all maintenance work, including logs, reports, and manuals.
• Follow all health and safety rules and foster a safe workplace.
• Spot areas for improvement and introduce changes to better equipment efficiency and reliability.
• Manage spare parts inventory and handle ordering as required.
• Cooperate closely with production, quality, and engineering teams to meet operational objectives.

APPLY NOW!!!

• Bachelor's degree or Diploma in Electrical or Mechanical Engineering or related field.
• 3-5 years in maintenance engineering in related field
• Good understanding of CNC machines (Fanuc control) and PLC programming.
• Experienced with AUTOCAD and Microsoft Office Suite.
• Willingness to work outside regular hours if necessary

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #67933 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

Responsibilities:

• Provide support for Clean Room, Chillers, HVAC, Environmental Protection Systems, Process Utilities, Building Services, and other mechanical or facility systems.
• To ensure continuous utility supply at required performance levels for wafer fabrication.
• Develop and implement PM programs to keep systems functioning as intended at all times.
• Carry out repairs and troubleshooting to restore systems to operating condition as quickly as possible.
• Monitor system performance and capacity usage; provide regular reports; recommend and implement improvement/enhancement projects.
• Develop and implement procedures to ensure optimal system operation.
• Monitor utility usage and work with users to implement reduction projects where possible.
• Track spares and consumable usage; ensure adequate supply for daily operations.
• Ensure plant histories, drawings, data, and other documents are generated and properly filed for future reference.
• Evaluate and recommend necessary spares, consumables, and other resources for daily system operations.

Requirements:

• Degree or Master's in Science, Mechanical Engineering, Building or equivalent.
• 5 years of experience preferred in semiconductor, pharmaceutical or petrochemical industry.
• Good problem-solving skills and strong sense of responsibility.
• Works independently under pressure in a fast-paced environment.
• Ability to handle multiple tasks simultaneously.

Interested candidates who wish to apply for the advertised position, please click on the APPLY button below to send in your resume or send to engg1@talenttradersg.com

EA License No: 13C6305

Reg. No.: R24121656 (CHEN JING WEI)

For candidate who applied for the advertised position is deemed to have consented to us that we may collect, use or disclose your personal information for purpose in connection with the services provided by us.

Salary Range: $3,000 - $4,000
Location: East

Responsibilities:

Assist in maintenance and repair of building systems

Coordinate with contractors, vendors, and service providers

Monitor facility operations and ensure smooth daily running

Conduct routine inspections and preventive maintenance

Support troubleshooting of equipment breakdowns

Ensure compliance with safety, environmental, and regulatory standards

Maintain maintenance records, reports, and documentation

Requirements:

Min Diploma holder
Knowledge of mechanical/electrical systems

Troubleshooting skills

We regret only short-listed candidate will be notified.

Reg No: R1102058

Seow Soek Fern

soekfern.seow@elitez.asia

EA License No: 20C0426 (Elitez & Associates)

Job Description

• Industry/ Organization Type: Precision Engineering
• Position Title: Maintenance Engineer
• Working Location: Bukit Batok
• Working Hours: 5 days (Mon – Fri, 8.00am – 5.30pm)
• Salary Package: Basic salary up to $3,000 + Variable Bonus + OT
• Duration: Permanent Role

Key Responsibilities

• Create and execute regular maintenance plans for all machinery and equipment.
• Identify and fix issues with mechanical, electrical, and pneumatic systems in CNC machines and other equipment.
• Help with setting up and starting new equipment.
• Keep detailed records of all maintenance work, including logs, reports, and manuals.
• Follow all health and safety rules and foster a safe workplace.
• Spot areas for improvement and introduce changes to better equipment efficiency and reliability.
• Manage spare parts inventory and handle ordering as required.
• Cooperate closely with production, quality, and engineering teams to meet operational objectives.

APPLY NOW!!!

• Bachelor's degree or Diploma in Electrical or Mechanical Engineering or related field.
• 3-5 years in maintenance engineering in related field
• Good understanding of CNC machines (Fanuc control) and PLC programming.
• Experienced with AUTOCAD and Microsoft Office Suite.
• Willingness to work outside regular hours if necessary

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #67933 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

• Oversee the maintenance of building structures, both inside and outside.
• Carry out repairs and upkeep of fixtures, fittings, and other building components.
• Coordinate with vendors for inspection, servicing, and certification of lifts, cranes, and related equipment.
• Manage and supervise contractors to ensure timely and quality work.
• Ensure proper care and general maintenance of the premises and surrounding areas.

Requirements:

• Diploma in Mechanical or Electrical Engineering.
• At least 3 years of experience in facilities/building maintenance.
• Practical, hands-on skills in building repair and maintenance work.
• Basic understanding of both mechanical and electrical systems.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

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

EA Licence: 19C9701

Registration: R1326740

• Provide support in organizing and overseeing day-to-day facility upkeep to keep project activities on track.
• Coordinate project timelines and deliverables with clients, consultants, and subcontractors for timely completion.
• Perform on-site inspections to monitor work progress, conduct quality checks, and provide feedback for improvements.
• Support the preparation and submission of technical drawings and related project documentation.
• Handle administrative duties linked to project activities and provide on-site support when necessary.

Requirements:

• Diploma in Mechanical, Electrical Engineering, or equivalent
• At least 2 years of experience in the M&E/Construction Industry.
• Advantageous to have relevant safety certifications.
• Able to work independently and under tight deadlines.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

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

EA Licence: 19C9701
Registration: R1326740

Position: Machine Vision Sales Engineer (Application Engineer / FAE – Automation & Vision Systems)

Working Days & Time: Mon – Fri, 9am – 6pm

Location: Ubi

Salary: $3000 - $5000

Summary

Reporting to the Managing Director and Technical Sales Director, this position in Industrial Automation with key focus in Machine Vision, DEEP Learning, IIOT etc.

Responsibilities

1. Technical Support

• Perform technical benchmarking and analysis to support engineering solutions
• Assist in installation and running of product demonstration, events and exhibition of HALOCN
• Strong interest in guiding and impact knowledge to customers on product knowledge

2. Presales and Solution Provider

• Propose and implement creative, efficient solutions for machine vision problems

• Contribute to expanding our application for assigned Product Group (HALCON from MVTec, Deep Learning)

• Collaborate cross-functionally with supplier, customers, Sales Team and other engineers to achieve elegant solutions

3. Organizer and Training Provider

• Organize and lead classes for customers for beginner and intermediate level

Requirements

• Degree in Computer, Electronical and Electronics, Mechanical Engineering fields, or Computer Science
• Prior experience as a Machine Vision Engineer, or preferably in similar industry
• Proven ability to drive the sales process from plan to close.
• Ability to travel in Asia region as required up to 15% - 20%

Interested applicants, WA your resume to +65 9136 9792 or email your resume to supreme.yentan@gmail.com.

Tan Yen Zhen (Chen Yan Zhen) Reg No: R25138932

The SupremeHR Advisory Pte Ltd EA No: 14C7279