Total 423 process engineer job vacancies in Maintenance / Repair category

• 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.

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EA Licence: 19C9701
Registration: R1326740

An excellent Machine Learning Engineer (MLOps / AI Platform) opportunity has just arisen within a cutting-edge AI environment.

Job Purpose:

• Build and scale machine learning systems from experimentation to reliable production deployment.

Job Responsibilities:

• Design and deploy machine learning solutions from data pipelines to production systems.
• Build scalable pipelines for training, testing, and serving AI models reliably.
• Work with data scientists to convert research code into production-ready applications.
• Manage model lifecycle including versioning, monitoring, performance tracking, and continuous improvements.
• Implement modern AI solutions including LLMs, agents, and retrieval-based systems.

Job Requirements:

• 7+ years' Python programming experience building scalable and maintainable applications.
• Experience deploying machine learning models into production environments using modern tools.
• Familiarity with cloud platforms, containers, and CI/CD pipelines for automation.
• Understanding of machine learning concepts, data processing, and model evaluation techniques.
• Experience or interest in LLMs, AI agents, or modern generative AI technologies.

The successful Machine Learning Engineer (MLOps / AI Platform) must possess strong Python skills, production ML experience, and interest in modern AI technologies such as LLMs and automation workflows.

Work on real-world AI systems including LLMs, automation workflows, and scalable ML platforms.

EA Reg. No. 25C2690 | EA license No. R1330510

[Job ID: 1496759]

Responsibilities:

• Support the Facilities Management (FM) Site Lead and Senior Engineers in facilities operations and planning activities.
• Participate in design planning, interface coordination, and technical clarification meetings.
• Review and provide input on consultants’ technical and design proposals to ensure operational suitability and maintainability of FM systems.
• Collaborate with project stakeholders to integrate FM requirements into hospital development plans.
• Monitor and evaluate emerging FM and healthcare technologies, including automation and robotics, for potential adoption.
• Support group-level Facilities Management initiatives when required.
• Provide on-site support as part of the site team when assigned.

Requirements:

• Degree in Engineering (ACMV or a related discipline).
• Minimum 3 years of experience in building or facilities maintenance, including prior exposure to ACMV installation works.
• Strong ability to work in a fast-paced, dynamic environment with effective problem-solving skills.
• Strong analytical, communication, written, and presentation skills.
• Proficiency in Microsoft Office applications.
• Familiarity with BCA Green Mark certification and GreenGov.SG requirements is an added advantage.

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities.

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EA Personnel Name: Felicia Chiam Kar Min 
EA Personnel Reg. No.: R25152370 
EA Licence No.: 07C5771