• 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

Our client is a Electrical, and Electronics Manufacturing. Due to business needs, they are now recruiting a Maintenance Engineer to be part of their Team for ongoing transformation projects. They are located in the West - easily accessible.

Responsibilities:

• Perform preventive maintenance on production equipment to ensure optimal operation.
• Document and report all maintenance activities accurately
• Ensure high levels of customer satisfaction during on-site visits.

Requirements:

• Must have class 3 license.

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: R25157233 (Loh Pooi Keng)

• 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

Our client is a Electrical, and Electronics Manufacturing. Due to business needs, they are now recruiting a Maintenance Engineer to be part of their Team for ongoing transformation projects. They are located in the West - easily accessible.

Responsibilities:

• Perform preventive maintenance on production equipment to ensure optimal operation.
• Document and report all maintenance activities accurately
• Ensure high levels of customer satisfaction during on-site visits.

Requirements:

• Must have class 3 license.

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: R25157233 (Loh Pooi Keng)

We are seeking an experienced Machine Learning Engineer to join a global technology-driven organization, contributing to the delivery of advanced AI and ML solutions. This role will focus on building scalable systems and innovative applications that enhance digital experiences across diverse platforms. The ideal candidate will bring strong technical expertise, creativity, and the ability to thrive in a fast-paced environment.

Key Responsibilities:

• Lead, design, and implement machine learning projects to ensure timely and high-quality deliverables.
• Collaborate with cross-functional teams to align solutions with business objectives and user needs.
• Support the deployment of ML models, workflows, and applications into production environments.
• Assess requirements, dependencies, and constraints while working with subject matter experts across technology domains.
• Maintain strong relationships with stakeholders, partners, and internal teams.
• Contribute to project documentation, reporting, and regular status updates.
• Identify resources needed and coordinate roles and responsibilities across engineering and research teams.
• Facilitate meetings and discussions with stakeholders, producing clear updates and action items.
• Provide support for occasional off-hours or weekend deployments when required.

Qualifications:

• Proven experience in managing or supporting large-scale AI/ML projects.
• Strong programming skills, particularly in Python, with hands-on experience in ML techniques and applications.
• Experience deploying ML solutions into production environments.
• Ability to communicate effectively with senior stakeholders and technical teams.
• Familiarity with projects involving large-scale data, content intelligence, or global user experiences is highly valued.

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

EA Registration No: 10C4544, Lim Jing Kai, Russell

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544

Our client is a Electrical, and Electronics Manufacturing. Due to business needs, they are now recruiting a Maintenance Engineer to be part of their Team for ongoing transformation projects. They are located in the West - easily accessible.

Responsibilities:

• Perform preventive maintenance on production equipment to ensure optimal operation.
• Document and report all maintenance activities accurately
• Ensure high levels of customer satisfaction during on-site visits.

Requirements:

• Must have class 3 license.

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: R25157233 (Loh Pooi Keng)

I.  Job Summary :

 As a professional expert in I&C, in charge of execution strategy, execution plan, interface management, basic data, risk control, design philosophy, etc. Identify potential project risks and develop appropriate mitigate risk measures.

II.  Principal Responsibilities :

1.  Communicate and coordinate with CLIENT on I&C design philosophy and technical issue, and figure out the solution.

2.  Coordinate with CLIENT, third parties as well as national and local regulations to solve relevant problems and closeout review comments.

3.  Responsible for technical tender document review, technical clarification, prepare or review the TBE etc.

4.  Provide technical training and guidance to designers on a regular basis, with no less than 6 times or 20 hours of training per year.

5. Be responsible for other related work assigned by company.

III. Education/Experience Requirements/Certification:

1.   Bachelor degree or above;

2.  More than 12 years of working experience in I&C design of offshore fixed platform or floating oil and gas production facilities, including more than 5 years international project. With middle east project working experience (like ADNOC, QatarEnergy, Saudi Aramco etc.) is prefered. Working experience in internationally renowned engineering companies, such as Technip, Worley, Wood, Flour, MCDERMOTT is preferred.     

3.     Familiar with I&C expertise (such as DCS, SIS, FGS, HIPS, wellhead control panel, oil and gas custody transfer, control valve, ESDV, flowmeter, etc), technical specifications (SIL, HAZOP, fire and gas mapping, cyber security, etc), and industry regulations and policies (such as IEC, ISO, EN, API, NFPA, ASME, ANSI, ISA, NEMA, AGA, ASTM, shell DEP, BP standards, TOTAL standard, NORSOK, -etc.)

4.   Familiar with the design procedure of international project, strong ability to develop and manage technical solutions, promptly identify and resolve issues, and effectively control and mitigate risks.

Behavioral/Technical Skills:

1.   Proficient in instrument control design software, such as SPI, INSTRUCALC, AutoCAD, etc., proficient in excel, word, ppt etc.

2.  Work diligently, rigorously, with a strong sense of responsibility, hardworking, and can work overtime if required as per project plan.

3.   Have rich experience in shipyard or site technical support, following domestic or overseas business trips and overseas work arrangements as per project requirement.

4.  Proficient in English listening, speaking, reading, and writing, with native English speakers being preferred.

Position Description

As a Machine Learning Engineer (Agents & Data Intelligence), you will build AI-powered systems that transform how business teams access, analyse, and act on data. You will develop intelligent agents that automate routine analysis, generate insights, and dramatically reduce the time from question to answer—from days to minutes.

You will work across the AI layer of our data stack, building and extending our analysis chatbot (currently SaaS-powered, transitioning to in-house), developing specialised agents for planning, querying, analysis, and monitoring, and enabling the data governance infrastructure needed for company-wide AI-driven analytics. You will collaborate closely with data analysts, data engineers, and business stakeholders.

What You Will Be Doing

AI Agent Development

• Design and implement AI agent workflows powered by LLMs for end-to-end data tasks: natural language queries, automated analysis, reconciliation, and reporting

• Extend and improve our analysis chatbot by developing specialised agents for planning, querying, data quality validation, and monitoring

• Extend and optimise our existing RAG framework, including improving document processing, chunking strategies, embedding pipelines, and retrieval mechanisms to ground agent responses in our data context

• Develop prompt engineering strategies, few-shot learning, and context optimisation to improve agent accuracy and reliability

• Build orchestration frameworks that coordinate multiple specialised agents to solve complex data problems

Data Infrastructure & Governance for AI

• Work with data engineers and managers to build AI-friendly data pipelines that enable rapid AI adoption across the company

• Support implementation of the data access management architecture to enable granular, role-based access control for AI tools

• Build and maintain metric definition frameworks and documentation required for AI agents to accurately interpret business questions

• Develop automated data reconciliation systems including cross-system matching, discrepancy detection, and exception flagging

Automation & Business Impact

• Productionise AI use cases that replace manual processes, such as automated reporting, marketing analytics, customer segmentation, or anomaly detection

• Apply traditional ML techniques (anomaly detection, pattern recognition, classification) within agent workflows to enhance monitoring and decision-making

• Build quality assurance pipelines that evaluate LLM outputs for accuracy, consistency, and hallucination detection

• Collaborate with data analysts and business teams to identify automation opportunities and eliminate repetitive manual analysis

What You Need to Be Successful

Required

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field

• 3+ years of professional experience in machine learning engineering, data engineering, or software engineering with demonstrable ML project delivery

• Strong Python programming skills with hands-on experience using scientific computing libraries and data/visualisation tools

• Working experience with LLM APIs (e.g. OpenAI, Anthropic, or open-source models) and practical prompt engineering in production or project settings

• Familiarity with RAG architectures, vector databases, or document retrieval systems

• Solid SQL skills and experience working with cloud data warehouses

• Understanding of software engineering best practices: Git, CI/CD, API design, testing, and containerisation

• Strong analytical ability to translate business problems into technical implementations

• Good communication skills with both technical and non-technical stakeholders

• We welcome all applicants who are eligible to work in Singapore

Nice to Have

• Experience with agent-based AI systems and orchestration frameworks (e.g. LangChain, LangGraph, CrewAI, or similar)

• Familiarity with GCP services (Cloud Run, Cloud Functions, BigQuery)

• Experience with dbt or data transformation frameworks

• Exposure to product analytics tools (e.g. Mixpanel, Amplitude, Firebase)

• Interest in investment, financial services, or cryptocurrency domains
  

  Please click on link to apply: https://pluanghrms.darwinbox.com/ms/candidate/careers/a69b3d71137533

Work Environment

Attractive compensation package with competitive salary and flexible bonus scheme. Individual career path with management and technical growth tracks, enhanced by learning and development programmes. Healthy work environment with company-sponsored medical programme, open communication, and friendly policies supporting work-life balance. We are an equal-opportunity employer and value diversity.

Job Description:

• Develop Instrumentation and Control (I&C) deliverables: datasheets, drawings,documentation.
• Ensure I&C projects meet the specifications, budget, relevant codes, standards, and safety regulations.
• Proficient in understanding and implementing the technical specifications to the project deliverables.
• Involve in HAZOP, SIL, technical reviews and clarifications with stakeholders.
• Formulate RFQs, evaluate bids and recommend vendors/suppliers of I&C Systems.
• Responsible for I&C change orders and meeting the delivery lead time and stakeholder expectation.
• Participate in Inspection and Field Acceptance Test for PLC/HMI panels, Instruments etc.
• Cooperate with process, mechanical, electrical, piping disciplines to ensure smooth project delivery.
• Provide technical support and advice during the construction, testing, and commissioning phases.
• Support tender preparation and cost estimation.

Requirements:

• Minimum Diploma in Electronic Engineering or Instrumentation Engineering or related fields.
• Minimum 3-5 years of working experience in I&C design, preferably in water and wastewater treatment projects.
• Knowledge of instrumentation devices such as sensors, transmitters, actuators, control valves, and flow meters.
• Know-how of installation of instruments.
• Good verbal and written communication skills.
• Ability to work collaboratively within a multidisciplinary team.
• Proactive, adaptable, and committed to continuous learning and professional development.
• Ready to travel overseas at short notice.

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 AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative 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. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

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 seeking a talented and highly motivated Machine Learning Engineer to join our Model Engineering Team, focused on building, training, and improving computer vision models used in real-world systems. In this role, you will engineer models for improved accuracy, speed, and reliability, and work across experimentation, data, and production-facing ML pipelines.

You will collaborate with experienced engineers to translate research ideas and experiments into practical improvements that impact deployed systems.

You will also work with production-level machine learning systems, contributing to how models are evaluated, deployed, and monitored in real-world environments.

What You’ll Do:

Model Engineering & Training

• Assist in training, fine-tuning, and evaluating computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and video understanding.
• Contribute to model engineering efforts, including modifying architectures, adjusting backbones or heads, and tuning training strategies to improve accuracy, stability, and inference speed.
• Experiment with training techniques such as data augmentation, loss functions, optimisation methods, and learning rate scheduling.
• Explore and evaluate modern vision models, including open-vocabulary or multimodal approaches where relevant.

Research & Experimentation

• Read, discuss, and apply insights from relevant research papers, technical blogs, and internal technical documentation.
• Prototype and evaluate new models, approaches, or techniques, comparing them against established baselines through structured experiments.
• Analyse experimental outcomes and document insights on performance trade-offs, limitations, and failure modes.

Evaluation & Failure Analysis

• Analyse model performance beyond headline metrics, including long-tail behaviour, edge cases, and real-world impact.
• Debug model failures such as false positives, false negatives, or unstable predictions.
• Improve robustness through targeted data improvements, inference logic, or model adjustments.

Data & Experimentation Infrastructure

• Work with large-scale datasets, including preprocessing, augmentation, validation, and quality checks.
• Follow established workflows for dataset versioning, experiment tracking, and reproducibility.
• Write clean, maintainable experiment code and configuration-driven training setups.

Production & MLOps Exposure

• Assist with model deployment and monitoring under the guidance of senior engineers.
• Work with training, evaluation, and inference pipelines used in production.
• Apply model lifecycle practices such as versioning, retraining, validation, and rollback.
• Consider performance and efficiency constraints, including latency, GPU memory usage, and inference cost.

Minimum Requirements

• At least a degree in Computer Science, AI, Machine Learning, or a related technical field, or equivalent practical experience.
• 1 – 2+ years of relevant hands-on experience with deep learning and computer vision through professional work, research, or substantial projects.
• Proficiency in Python.
• Experience with PyTorch and/or TensorFlow.
• Familiarity with Linux environments (CLI usage, basic shell commands).

Bonus Skills

• Exposure to multimodal or open-vocabulary models.
• Experience modifying models beyond configuration-level changes (e.g. layers, heads, loss functions).
• Familiarity with experiment tracking or MLOps tools (e.g. Git, Docker, MLflow, Weights & Biases).
• Experience with model optimisation or export (e.g. ONNX, TensorRT, quantization).
• Experience working with video data or tools such as OpenCV or FFmpeg.

Personal Competencies

• Strong interest in engineering and improving machine learning models, rather than treating them as black boxes.
• Curiosity about how architecture, data, and training strategies affect real-world performance.
• Comfortable experimenting, debugging, and iterating in a collaborative engineering environment.
• Ability to take ownership of model components appropriate to experience level and project needs.

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

Micron is a global leader in memory and storage solutions, enabling transformative technology that enriches life for all. With over 40 years of innovation, Micron plays a pivotal role in the data-driven economy, where memory and storage are strategic differentiators. We are committed to sustainability, employee well-being, and community support, and we foster a culture of inclusion, collaboration, and continuous improvement. 

Job Summary 

The Facilities UPW/WWTP Engineer provides engineering support to be responsible for, plan and ensure accurate operations and maintenance of the Ultra-Pure Water (UPW) and Wastewater (WW) systems. You are encouraged to fix and respond to issues and interruptions of the systems. You will also handle and implement Ultra-Pure Water and Wastewater treatment systems engineering projects including upgrades, retrofits, expansion and maintenance. 

This position will provide you with valuable exposure to the technology, allowing you to develop skills and knowledge that will be beneficial for your career growth and provide accelerated training in a fast-paced work environment and multi-functional working opportunities. 

Main Responsibilities: 

• Manage Facilities upgrade, engineering and maintenance of all UPW Plants, Industrial Wastewater Plant， Fluoride Waste Treatment Plants, Water/Wastewater reclaim system (example: Local Scrubber Reclaim LSR, Local Scrubber Reclaim Reject Recycling LSRRR) and related base build installations. 

• Lead and Manage Targets, objectives, tasks towards achieving Goal for Sustainability in Water and Waste (wastewater system related) 

• Drive continual improvement programs targeting Quality and Reliability of systems to ensure maximum uptime and minimal impact to production. Train and lead the team to identify the root cause of issues and implement effective CA/PA in systematic manner. 

• Ensure timely response to out-of-spec conditions or any other systems interruptions that impact production and follow-up with improvement plans. 

• Continuously benchmark Micron and industry best practices in developing a world-class UPW/WW team. 

• Establish area budgets and manage all costs associated with maintenance/project activities. Lead and drive continual cost reduction programs for service contracts and maintenance to ensure cost effectiveness for the section to support department and site cost goals. 

• Establish and regularly measure current and past performance metrics for improvements and decision making. 

• Manage various administrative and engineering databases used to support job tracking, engineering data, capital equipment facilitation, and critical system loads and capacities. 

• Lead and manage all aspects of EHS for the section and ensure compliance to EHS related regulations/procedures by section and the contractors engaged, including proactively promote team safety priorities and standards as well as follow-up on accidents and near misses to ensure safe working practices. 

• Collaborate with other Sections, departments and corporate groups to support common goals and projects. Support and/or lead department wide projects and programs as required (Example: Energy Efficiency, Policy Deployment etc.) 

• Lead the team by providing comprehensive solutions that take into account wider implications, capturing its essential elements and accurately linking related elements. This may include analyzing issues from different perspectives with a goal to develop the best course of action for the team and the department. 

• Set and clearly communicate goals, motivate the team, oversee employee development, develop performance plans for all direct employees and conduct performance evaluations. 

• Take genuine interest in team members, provides constructive feedback, effective coaching and be willing to impart knowledge and expertise to others. 

• Ensure the completion of required learning items, including eventual reports within the stipulated time frame. 

• Provide supervisory support for starting up new equipment, which includes ensuring that all equipment properly interface with other related systems (M&E, Chem&Gas, etc). 

• Make decisions with minimal guidance and with due consideration given to upside gains, diverse needs, severity of risks and uncertainties 

• Ensure every leader is conducting routine (ie. weekly) MBWA ensuring all Facilities Disciplines are being met 

• Align tasks and goals of the Section to have Line of Sight to Fab10 Strategies and objectives 

Job Requirements, Qualifications/Experience  

• Must have Bachelor’s or advanced degree in Chemistry, Chemical Engineering or Environmental Engineering from a recognized institution is required 

• At least 3 years of experience in Facilities wastewater treatment system.

• Wastewater system/technical skills is required

• Strong analytical skills, statistical process control (SPC), proficiency in Microsoft Office, excel macro, copilot, Azure, tableau. 

• Effective communicator, able to collaborate across all levels 

• Growth mindset with a passion for continuous learning 

• Internship or experience in the semiconductor industry is a plus 

• Demonstrated leadership and a track record of impact are highly desirable 

• Interest in and knowledge of the semiconductor industry and Micron is preferred 

• Embody Micron’s core values: 

People – Respect, develop, and empower others 

Innovation – Drive continuous improvement and breakthrough thinking 

Tenacity – Show grit and determination 

Collaboration – Build trust and foster teamwork 

Customer Focus – Deliver excellence and value 

Plans facilities changes for plant, office, and production equipment layouts, working toward economy of operation, maximum use of facilities and equipment, and compliance with laws and regulations. Coordinates with architecture/engineering firms in developing design criteria and preparing layout and detail drawings. Prepares bid sheets and contracts for construction and facilities acquisition. Reviews and estimates design costs including equipment, installation, labor, materials, preparation and other related costs. Inspects construction and installation progress for conformance to established drawings, specifications, and schedules. Develops criteria and performance specifications required to meet unique operating requirements and building and safety codes.