Total 375 system engineer job vacancies in Maintenance / Repair category in Singapore

The Facilities Engineer supports the operations and maintenance of Grade A commercial buildings to ensure smooth daily operations, optimal building performance, and compliance with safety and regulatory requirements. The role involves coordinating maintenance activities, supervising contractors, planning shift operations, and supporting facility improvement initiatives.

Roles & Responsibilities

• Support the daily operations and maintenance of building facilities and M&E systems, including ACMV equipment, chillers, electrical systems, and BMS
• Plan and coordinate shift schedules and manpower deployment to support operational requirements and building coverage
• Assist in the planning, coordination, and execution of preventive and corrective maintenance works
• Supervise contractors and service providers to ensure works are carried out in accordance with operational, safety, and quality standards
• Support integrated system testing, annual shutdown activities, and facility improvement projects
• Monitor building systems performance and respond to operational or technical issues in a timely manner
• Assist in troubleshooting M&E system faults and coordinate rectification works with vendors and contractors
• Support cost management activities including quotation sourcing, price comparison, and vendor coordination
• Prepare maintenance reports, operational updates, incident reports, and other technical documentation
• Coordinate with clients, tenants, contractors, and relevant authorities on operational and maintenance matters
• Ensure compliance with Workplace Safety and Health (WSH) requirements, fire safety regulations, and company policies
• Support ad-hoc operational duties and projects assigned by Management

Requirements

• Diploma in Mechanical Engineering, Electrical Engineering, Facilities Management, or related discipline
• Relevant experience in facilities management or building maintenance within Grade A commercial buildings
• Knowledge of ACMV systems, chillers, BMS, and M&E infrastructure
• Experience in planning shift schedules and manpower deployment will be an advantage
• Good troubleshooting, coordination, and problem-solving skills
• Good interpersonal and communication skills
• Proficient in Microsoft Office applications
• Able to work independently and in a fast-paced operational environment
• Shift work is required (including rotating shifts)

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: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R2198636 (Oh Puey Xin)

About Cynapse 

Cynapse is a leading Agentic AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Agentic AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. 

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what’s possible with video intelligence. 

Job Description 

We are looking for a Junior to Mid-Level Machine Learning Engineer to join our Model Engineering Team. This role is intended for engineers who view models as systems to be understood, developed, and improved rather than simply consumed as black-box components.

You will contribute across the full model lifecycle, from dataset preparation and architecture development to training, evaluation, and optimisation. Working closely with experienced engineers, you will improve model performance through experimentation, data-centric approaches, and systematic analysis, helping to build robust and efficient computer vision systems for real-world applications.

What You’ll Do: 

• Train, fine-tune, and evaluate computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and action recognition.
• Contribute to model development through architecture enhancements, custom heads, loss functions, and training strategy optimisation.
• Design and execute experiments to evaluate model improvements and performance trade-offs.
• Prototype, benchmark, and assess new architectures, techniques, and approaches against established baselines.
• Investigate edge cases and performance limitations, and improve model accuracy, robustness, and efficiency.
• Consider practical constraints such as latency, throughput, resource efficiency, and hardware-specific optimisation.
• Collaborate with engineering teams to improve dataset quality, model performance, and system reliability.

Requirements 

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
• At least 2 years of hands-on experience training, fine-tuning, and evaluating computer vision models through academic, project, internship, or professional work.
• Hands-on experience with PyTorch and/or TensorFlow.
• Proficiency in Python and familiarity with Linux environments and command-line tools.

Bonus Skills 

• Experience modifying models beyond high-level APIs (e.g. custom heads, backbone modifications, loss functions, or training pipelines).
• Exposure to multimodal, vision-language, foundation, or open-vocabulary models.
• Experience with optimisation techniques such as quantisation, pruning, distillation.
• Familiarity with experiment tracking, reproducibility, or MLOps practices.

Personal Competencies 

• Strong interest in understanding how model architectures, data quality, and training strategies influence performance.
• Enjoy experimentation, performance analysis, and iterative model improvement.
• Eager to take ownership of model components and grow into increasingly complex model development responsibilities.

Note: Due to the nature of the role, the position is considered only for candidates who are already based in Singapore.

Job Descriptions:

• Drive continuous improvement initiatives to achieve SQCDP (Safety, Quality, Cost, Delivery, People) targets and enhance overall operational performance.
• Plan and execute daily, weekly, and monthly production schedules in collaboration with Planning to ensure efficient order fulfillment.
• Lead shift operations, including Level 1 and Level 2 briefings, and act as the escalation point for operational, technical, and resource issues.
• Uphold and enforce site standards across EHS, Quality, and GMP, while coaching teams and ensuring compliance with company values and Singapore WSH regulations.
• Oversee training and development of operators, including onboarding, technical training, and maintaining accurate training records in line with established frameworks.
• Manage maintenance activities, including execution of Planned Preventive Maintenance (PPM), equipment diagnostics, and coordination with vendors to minimize downtime and ensure reliability.
• Lead safety, quality, and continuous improvement initiatives, including audits, LOTO/PTW compliance, incident investigations, and root cause analysis (NCR/CAPA, 5S).

Job Requirements:

• Education: Diploma/Degree in Mechanical, Electrical, or Mechatronics Engineering.
• Technical: Minimum 5+ years in a supervisory role with knowledge on TPM (Total Productive Maintenance) or Lean Maintenance, ideally within a chemical or related manufacturing environment.
• Leadership: Proven experience in implementing PPM schedules and managing technical vendor contracts.
• Safety: Certified in LOTO, PTW, and Work-at-Height).
• Familiar with WSH (Workplace Safety & Health) Act & NEA Regulations, with hands-on experience overseeing hazardous material equipment and engineering safety.
• Knowledgeable with ISO9001 standard and Halal manufacturing requirements.
• Experience in vendor & contract management such as coordination with third-party contractors and negotiation of local service-level agreements (SLAs).
• Excellent organizational and time management skills; ability to forward-plan workload against resource availability.

If you are interested in this opportunity, submit your application now to find out more about this position.
We regret that shortlisted candidates will be notified.

Chen Hsiu Wen (Winnie) | Personal Reg No:R1980765
Manpower Staffing Services (S) Pte Ltd | EA License No: 02C3423

About the Role

Our client is seeking a Data Scientist / Machine Learning Engineer to support the development, deployment, and optimization of machine learning solutions that enable data-driven decision-making. The successful candidate will work closely with business stakeholders, data engineers, and technical teams to transform complex datasets into actionable insights and predictive models.

Key Responsibilities

• Analyze large and diverse datasets to identify trends, patterns, and business insights.
• Develop, train, validate, and optimize machine learning models for predictive and classification use cases.
• Perform data preparation, feature engineering, and model evaluation activities.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Design and conduct experiments, hypothesis testing, and statistical analyses to support business objectives.
• Work closely with data engineering teams to prepare and optimize datasets for modelling and analytics.
• Develop data visualizations and dashboards to communicate findings and recommendations effectively.
• Monitor and maintain machine learning models in production environments to ensure performance and accuracy.
• Contribute to the continuous improvement of data science and machine learning best practices.

Requirements

• Bachelor's Degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related discipline.
• Minimum 3 years of relevant experience in Data Science, Machine Learning, Artificial Intelligence, or related fields.
• Strong proficiency in Python and SQL.
• Hands-on experience developing and deploying machine learning models in production environments.
• Good understanding of statistics, predictive analytics, machine learning algorithms, and model validation techniques.
• Experience with data visualization tools such as Power BI, Tableau, or equivalent.
• Experience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
• Strong problem-solving skills and ability to communicate technical concepts to non-technical stakeholders.

Preferred Skills

• Experience with Spark, Databricks, Airflow, Azure Data Factory, AWS Glue, or similar data platforms.
• Familiarity with MLOps practices, CI/CD pipelines, Docker, or Kubernetes.
• Exposure to Generative AI, Large Language Models (LLMs), or AI foundation models will be advantageous.
• Experience working with large-scale datasets and distributed computing environments.

How To Apply:

Submit your application by emailing a detailed copy of your updated Resume in MS Word Format to Lin Jin Sen (EA Personnel Reg. No. R25129852, Achieve Career Consultant Pte Ltd EA Licence No. 05C3451)

by clicking the “Apply Now” or email to andie.lin@achievegroup.asia for a confidential discussion

Current & Expected Salary

Reason(s) for leaving

Notice Period / Availability to commence work

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We regret that only shortlisted candidates will be notified.

Description:

• Lead applied research and strategic definition of machine learning algorithms, quantization methodologies, and toolchain capabilities for the Neural Network Development Kit (NDK) roadmap targeting next-generation Edge AI compute solutions
• Drive innovation at the intersection of ML algorithms and constrained hardware environments, identifying and validating the latest Edge AI technologies applicable to product requirements
• Serve as the primary technical interface between the AI Architecture team and the Software (Edge AI) team, delivering well-researched toolchain feature proposals and algorithmic specifications for implementation
• Collaborate with Software (Edge AI) and AI Architecture teams to identify and pursue targeted improvements in ML software methodology, and support Software-initiated improvement efforts with algorithmic insight and implementation guidance
• Maintain deep engagement with the global Edge AI research community to ensure the NDK roadmap reflects the state of the art in model efficiency, compression, and on-device learning

Key Responsibilities:

• Collaborate with the Sr. Design Manager (AI Architect) to define and maintain the NDK toolchain feature roadmap, ensuring alignment with the NPU hardware roadmap and overall AI product strategy
• Research, evaluate, and recommend quantization algorithms, pruning strategies, knowledge distillation techniques, and other model compression methodologies suited to constrained hardware targets
• Assemble and lead focused task forces drawing on partial bandwidth from the Software (Edge AI) and IC Design teams to prototype, benchmark, and validate proposed toolchain concepts before broader commitment
• Prototype and benchmark candidate ML algorithms and toolchain features to quantitatively demonstrate accuracy-performance trade-offs and justify roadmap prioritization

• Translate hardware architectural capabilities and constraints (as defined by the NPU Architect) into concrete toolchain feature requirements and algorithmic optimization opportunities
• Deliver comprehensive technical specifications and algorithmic documentation to the Software (Edge AI) team to enable confident and accurate implementation of NDK features
• Collaborate closely with the Software (Edge AI) team throughout the implementation phase to resolve algorithmic questions, validate correctness of implementations, and ensure performance targets are met
• Actively monitor and synthesize developments from the Edge AI research community — including publications, open-source frameworks, and industry benchmarks — to continuously inform and refresh the NDK roadmap
• Partner with the Software (Edge AI) team to jointly identify ML toolchain methodology improvement opportunities and drive those that originate from the AI Architecture team; provide expert advisory support for methodology improvements initiated by the Software team
• Evaluate and apply a range of productivity tools and techniques — including but not limited to AI-assisted methods — to accelerate algorithmic prototyping, benchmarking, and specification productivity
• Evaluate and integrate relevant open-source ML frameworks, runtimes, and toolchain components (e.g., MLIR, TVM, ONNX Runtime) as acceleration vectors for NDK development

Requirements:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Computer Engineering, or related technical field; PhD preferred, particularly in machine learning, optimization, or computer architecture
• 8+ years of experience in applied machine learning engineering or Edge AI software, with at least 5 years focused on model optimization, ML compilers, or on-device inference toolchain development
• Proven expertise in quantization (PTQ, QAT), pruning, knowledge distillation, and other model compression techniques with demonstrated results on resource-constrained hardware
• Strong knowledge of AI/ML algorithms, neural network architectures (CNNs, RNNs, Transformers, etc.), and the trade-offs between model accuracy, computational complexity, and memory footprint
• Demonstrated ability to stay at the forefront of the Edge AI research community, with a track record of translating academic and industry advances into practical product roadmap contributions
• Hands-on experience with mainstream ML frameworks (PyTorch, TensorFlow/Lite) and familiarity with ML compiler stacks such as MLIR, TVM, or ONNX Runtime
• Experience consuming hardware architectural specifications and translating them into software toolchain requirements and algorithmic optimizations
• Excellent communication skills with ability to present complex research findings and toolchain proposals clearly to architecture, software, and executive audiences
• Strong analytical and problem-solving abilities with emphasis on quantitative benchmarking, accuracy-efficiency trade-off analysis, and performance profiling on target hardware
• Demonstratedability to work collaboratively across team boundaries, including assembling and coordinating cross-functional task forces without direct authority
• Familiarity with RISC-V ISA and its software ecosystem, particularly in the context of AI inference deployment
• Experience with FPGA-based or simulator-based prototyping to validate algorithmic concepts against pre-silicon hardware models (preferred but not required)
• Self-motivated with ability to work independently, lead applied research initiatives, and drive toolchain innovation from algorithmic exploration through specification and successful team handoff

JOB DESCRIPTION

To support the Maintenance-By-the-Hour (MBHTM) program in the function of repair management (RM). With the partnership and engagement of our vast network of vendors and Original Equipment Manufacturers (OEM), we ensure the repairs of our customer’s and MBHTM assets are achieved in a timely and cost-efficient manner to fulfill the demands of the MBHTM supply chain. To manage the large quantity of components concurrently undergoing repair within our network of vendors and OEMs. As every component undergo different repair procedures for defect rectification, it is important to understand the characteristics of the individual components and the purpose for each procedure carried out by the vendor/OEM to identify opportunities for cost reduction and evaluate the quality of the repair.

MINIMUM REQUIREMENT

Education & Experience

• Degree in Engineering (Aerospace/Electrical/Mechanical)
• Some knowledge in Maintenance, Repair and Operations (MRO) of aircraft components, airworthiness requirements and relevant Airbus and Boeing policies relating to aircraft component repairs would be good, but not compulsory.

Specific Skills (Knowledge, skills and abilities)

• Knowledge in Microsoft Office
• Strong analytical skills with methodical approach to identify requirements and opportunities in executing various Repair Management (RM) process
• Effective communication skill to communicate and negotiate with various parties to fulfill Key Performance Indicators (KPI)
• Abilities to prioritize workload and manage RM operations across multiple MBH contracts

Quality Assurance & Quality Control

• Develop, implement, and maintain the project’s QA/QC procedures, inspection plans, and quality documentation.
• Conduct material inspections, method statement reviews, and ensure all works meet project specifications and QP/RTO requirements.
• Prepare and carry out Inspection & Test Plans (ITP), checklists, and quality-related forms.
• Perform site inspections together with the consultant, client representatives, and subcontractors.
• Ensure construction activities comply with BCA, MOM, and relevant regulatory requirements.

Site & Technical Coordination

• Coordinate with Project Manager, Site Engineers, Safety team, and subcontractors to ensure compliance with project quality standards.
• Review shop drawings, material submissions, and method statements.
• Assist in resolving technical and quality-related issues on site.

Documentation & Reporting

• Prepare NCR (Non-Conformance Reports), CAR (Corrective Action Reports), and follow up on closure.
• Maintain proper documentation for audits, quality checks, and regulatory submissions.
• Prepare weekly and monthly quality reports for management and client review.

Continuous Improvement

• Implement quality control training for site teams and subcontractors.
• Recommend improvement measures to enhance construction quality and prevent recurring issues.

Job Requirements:

• Degree/Diploma in Civil Engineering, Construction Management, or related field.
• Minimum 2–5 years QA/QC experience in the construction industry (main contractors preferred).
• Strong knowledge of BCA standards, CONQUAS, Quality Mark, and Singapore construction codes.
• Familiar with ISO 9001, inspection procedures, and material quality requirements.
• Good communication skills and the ability to work closely with site and project teams.
• Able to work independently and handle multiple inspections and submissions.

Field Service Engineer

• Working days: Monday - Friday 830am to 530pm
• Location : Ang Mo Kio Techplace
• Salary: $3,800 - $4,200

Job Responsibilities

• Install, test and commission new equipment at customers’ sites
• Carry out equipment assembly, servicing, trouble-shooting, repair, upgrade and preventive maintenance
• Perform other technical tasks as assigned
• Provide and maintain good customer service to customers

Job Requirements

• Nitec/Higher Nitec in Mechatronics/Mechanical Engineering or Diploma in Mechanical/Electrical Engineering
• At least 2 years’ hands-on experience in equipment servicing and repair
• Able to work after office hours when required
• Able to travel overseas when required