Total 21 service engineer job vacancies in Maintenance / Repair category in serangoon north ave 5 singapore

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

technical understanding requirement .

a) understands the drawings and scope of works

b) understands the implications of different technicalchoice so as to meet the project objectives

c) involve in providing value engineering solutions basing on his knowledge .

d) to have knowledge in the preparationof engineering proect proposals and method statements .

e) carry out project objectives so align with company goals.

f) to co-ordinate program and monitor site work , materials , plant and equipment .

g) involving in client /consultant / sub-contractor meetings .

h) to carry out short term planning to meet site progress .

g) shop / as build drawing preparation .

h) Assists project manager in monthly progree report

Role based in Sydney, Australia - Relocation Support Provided

We are Rokt, a hyper-growth ecommerce leader. We enable companies to unlock value by making each transaction relevant at the moment that matters most, when customers are buying. Together, Rokt's AI-based relevance Platform and scaled ecommerce Network powers billions of transactions. In December 2022, Rokt’s valuation increased to $2.4 billion USD, allowing us to expand rapidly across 15 countries. 

The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to better understand consumers. Our bespoke platform handles millions of transactions per day and considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology.

At Rokt, we practice transparency in career paths and compensation.

At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible.

We are looking for a Senior Machine Learning Engineer

Compensation: $190,000-$235,000 AUD including superannuation, plus employee equity plan grant & world class benefits.

As a Senior Machine Learning Engineer, you are someone who has significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionise proprietary machine learning models to solve different business challenges including smart bidding, lookalike modelling, forecasting, etc.

About the Role:

• Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions.
• Build and productionise machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc.
• Contribute and maintain the high quality of the code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc.
• Keep track of emerging tech and trends, research the state-of-art deep learning models, prototype new modelling ideas, and conduct offline and online experiments.
• Share your knowledge by giving brown bags, tech talks, and evangelising appropriate tech and engineering best practices.

About You:

• PhD in Machine Learning [Nice to have]
• Extensive knowledge in and experience with some of the following areas - Bayesian methods, Recommender systems, multi-task modelling, meta-learning, click through rate modelling or conversion rate modelling.
• 3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring.
• Experience with Kubeflow (or similar), Tensorflow and Feature Store in a production environment is a massive plus.
• Bonus points if you are familiar with any of the following architectures or have experience with the models mentioned in this benchmark: DCNV2, MMOE, Deep & Wide, ESMM, xDeepFM, and GDCN.

This role is based in Sydney, Australia. Rokt will provide relocation and visa support to qualified candidates.

About Rokt’stars:

As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock the full potential in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. 

About The Benefits:

We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it:

• Accelerate your career. We offer roadmaps to leadership and an annual $5000 training allowance
• Become a shareholder. Every Rokt’star gets equity in the company
• Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us! 
• Extra leave (bonus annual leave, sabbatical leave etc.) 
• Work with the greatest talent in town
• See the world! We have offices in New York, Seattle, Sydney, Tokyo and London

We believe we’re better together. We love spending time together and are in the office most days (teams are in the office 4 days per week). We also get that you need to balance your life and your commitments so you have the flexibility to manage your own hours and can spend up to a week of every quarter working from anywhere.

If this sounds like a role you’d enjoy, apply here and you’ll hear from our recruiting team.

Job Description

• Carry out routine maintenance and repair work (Machine and Facilities)
• Perform plumbing, painting, and minor repairs
• Provide technical support and training to staff
• Implement preventive maintenance schedules
• Ensure compliance with health and safety regulations

Job Requirements

• Electrical / Mechanical engineering knowledge is an advantage
• Machinery repair and maintenance is an advantage
• Able to work as a team and individually
• Must be willing to be hands on
• Able to do overtime and work on Saturday and Sunday if required

About Us:

Portcast is a venture-backed startup which predicts global trade flows to help logistics and shipping companies become more profitable. We are a predictive analytics company that offers a fast-paced, innovative environment where you will be empowered to sell our AI-product to C-level executives. We are customer-obsessed and are constantly working to provide our customers access to actionable and insightful data to build resilient supply chains.

Based in Singapore, and backed by leading VCs and senior industry advisors, Portcast is a team of young tech and industry talent building a game-changing product for the logistics and shipping industry.

About the role:

We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecycle—from research and model building to deployment and scaling in real-world environments. This hands-on role requires designing robust algorithms that address key business problems, particularly in visibility, prediction, demand forecasting, and freight audit. Your focus will be on ensuring model accuracy, reliability, and scalability in production systems.

What You’ll Do:

• Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments.
• Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization.
• Design and implement machine learning algorithms that address key business problems that our product focuses on in visibility, prediction, demand forecasting and freight audit.
• Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices.
• Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance.
• Build, test, and deploy real-time prediction models, maintaining version control and performance tracking.

To thrive in this role, you must have:

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field.
• 5+ years of experience in building, deploying, and scaling machine learning models in production environments.
• Experience deploying Generative AI models in production environments, with a strong understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques
• Proven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments.
• Experience working in a product-based company, preferably within a startup environment with early-stage technical product development.
• Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Familiarity with real-time data processing, anomaly detection, and time-series forecasting in production.
• Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions.
• First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges.
• A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results.
• Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset.

Join us at Portcast and be part of a high performing team that is shaping the future of the logistics and shipping industry through cutting-edge predictive analytics!

Job Description:

• Responsible for the upkeeping of facilities and equipment.
• Plan and implement effective preventive maintenance program for facilities and equipment.
• Ensure preventive maintenance stipulated are being conducted promptly.
• Coordinate with contractors in relation to facilities/equipment repair and maintenance, ensure their quality and safety standards meet the requirements.
• Closely monitor all critical repairs to ensure short down time.
• Maintain proper documentation.
• Recommend the replacement and upgrade of facilities and equipment through the annual budgeting process.
• Participate in continuous improvement program to achieve cost reduction.
• Perform any other duties as and when assigned.

Requirements:

• Diploma and above, preferably in facilities management, mechanical or electrical engineering.
• Relevant work experience in facilities.
• Licensed Electrician Worker (LEW) accredited by EMA will be an added advantage.

About the team Our Search Team is responsible for building and owning one well-known app's search engine, which provides our users the best search experience. On the app's Search Team, you’ll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, Computer Vision, Multimodal, and Recommender Systems. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.

Responsibilities

• Optimize the searching quality to provide app's's users the best search experience.

• Combine your understanding of product objectives and take full advantage of modern machine learning, NLP and Multimodal techniques to improve the search ranking algorithms, including query understanding, video understanding and various levels of result ranking.

Qualifications

• Bachelor degree or above in the field of computer science or a related technical discipline.

• Must have relevant experience in search/recommendation.

• Proficient coding skills and strong algorithm & data structure using C++/Python/Java.

• Experience in one or more of the following areas: NLP, Ranking, Ads, Search engine, Recommender System, and Machine Learning.

• Effective communication and teamwork skills.

We're 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. 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.

Responsibilities:

• Develop and optimize real-time computer vision applications for video analytics and edge AI solutions.
• Design and implement data pipelines to handle high-volume, real-time video streams.
• Build scalable, high-performance video processing pipelines with integration into cloud services or on-prem infrastructure.
• Collaborate with machine learning engineers to deploy deep learning models for object detection, segmentation, tracking, and classification on live video feeds.
• Ensure system performance, scalability, and robustness through optimization and efficient resource utilization.
• Participate in the full software development lifecycle, from requirements gathering to deployment and maintenance.
• Stay updated on the latest advancements in computer vision, machine learning, and deep learning technologies, incorporating them into the project roadmap.

Requirements:

• 3+ years of experience in computer vision or related fields.
• Expertise in NVIDIA DeepStream SDK for real-time video analytics and AI-based applications.
• Hands-on experience with Apache Kafka for building real-time data pipelines.
• Extensive experience in AWS
• Proficiency in OpenCV, GStreamer for image and video processing tasks.
• Strong experience with C++, Python, and libraries/frameworks such as
• TensorFlow, PyTorch, or TensorRT for deploying AI models.
• Understanding of video compression standards (H.264, H.265) and streaming protocols (RTSP, RTP, etc.).
• Familiarity with Docker and Kubernetes for deploying scalable microservices in cloud environments.
• Experience with Edge AI hardware like NVIDIA Jetson or similar platforms.
• Solid understanding of parallel computing and GPU acceleration techniques (CUDA).
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

About the team Our Search Team is responsible for building and owning one well-known app's search engine, which provides our users the best search experience. On the app's Search Team, you’ll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, Computer Vision, Multimodal, and Recommender Systems. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.

Responsibilities

• Optimize the searching quality to provide app's's users the best search experience

• Combine your understanding of product objectives and take full advantage of modern machine learning, NLP and Multimodal techniques to improve the search ranking algorithms, including query understanding, video understanding and various levels of result ranking.

Qualifications

• Bachelor degree or above in the field of computer science or a related technical discipline

• Must have relevant experience in search/recommendation

• Proficient coding skills and strong algorithm & data structure using C++/Python/Java

• Experience in one or more of the following areas: NLP, Ranking, Ads, Search engine, Recommender System, and Machine Learning

• Effective communication and teamwork skills.

We're 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. 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.

As a Lead ML Engineer, you will play a leading role in operationalizing ML Models developed by Client data scientists. You will serve as the focal point for ML model refactoring, optimization, containerization, deployment, and quality monitoring. Your main responsibilities will include:

• Conduct reviews for compliance of the ML models in accordance with overall platform governance principles such as versioning, data / model lineage, code best practices and provide feedback to data scientists for potential improvements
• Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain. This can include monitoring for data drift, triggering model retraining and setting up rollbacks.
• Optimize AI development environments (development, testing, production) for usability, reliability and performance.
• Have a strong relationship with the infrastructure and application development team in order to understand the best method of integrating the ML model into enterprise applications (e.g., transforming resulting models into APIs).
• Work with data engineers to ensure data storage (data warehouses or data lakes) and data pipelines feeding these repositories and the ML feature or data stores are working as intended.
• Evaluate open-source and AI/ML platforms and tools for feasibility of usage and integration from an infrastructure perspective. This also involves staying updated about the newest developments, patches and upgrades to the ML platforms in use by the data science teams.

Technical Skills

• At least 10 years of experience as a ML Engineer, working with Python, ML libraries, and large-scale data processing framework.
• Advance proficiency in Python used both for ML and automation tasks.
• Experience in working with ML libraries such as Panda, NumPy, H2O, or TensorFlow.
• Experience in working with large-scale data processing framework, such as Hadoop, Spark, or Dask.
• Knowledge of OpenShift / Kubernetes is a must-have.
• Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have.
• Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.
• Knowledge in the operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, Dataiku, H2O, or DKube).
• Knowledge of Workflow Orchestrator, such as Airflow or Ctrl-M.
• Knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
• Experience in defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization.
• Experience in ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling delivery of models, managing and governing ML Models, and managing and scaling AI platforms.
• Knowledge of cloud platforms (e.g. AWS, GCP) would be an advantage.

About the team

Our Search Team is responsible for building and owning XXX's search engine which provides our users the best search experience. On the XXX Search Team, you' ll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, Computer Vision, Multimodal, and Recommender Systems. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving Responsibilities

- Optimize the searching quality to provide XXX's users thee best search experience

- Combine your understanding of product objectives and take full advantage of modern machine learning, NLP and Multimodal techniques to improve the search ranking algorithms, including query understanding, video understanding and various levels of result ranking.

Qualifications

- Bachelor degree or above in the field of computer science or a related technical discipline

- Must have relevant experience in search / recommendation

- Proficient coding skills and strong algorithm & data structure using C++/Python/Java

- Experience in one or more of the following areas: NLP, Ranking, Ads, Search engine, Recommender System, and Machine Learning

- Effective communication and teamwork skills.

Support and service of barcode printers, scanners, CCTV, RFID and network infrastructure.

Our growing company is looking for a printer technician. To join our growing team, please review the list of responsibilities and qualifications.

Responsibilities for printer technician

· Support other IT equipment during low volume of barcode printer issues

· Installation, service, testing and troubleshooting of all hardware and software programs for the customer on site and in the field

· Troubleshoot computer hardware issues, operating systems, and antivirus and software issues

· Investigate and resolve trouble tickets quickly and efficiently providing root cause analysis as required

· Respond to, evaluate and prioritize incoming support requests, maintain SLAs and document support requests in ticketing system (ServiceNow)

· Perform installation and configuration of workstations, printers, cable distribution systems and other related equipment as applicable

· Excellent hardware diagnosing and repair skills, including disassembly and re-assembly of products

· Experience in network design, installation, and maintenance

· Excellent verbal and written communication skills to participate and engage in project meetings and technical work sessions with co-workers and customers

· The ability to complete training classes, personal study, and certification exams as assigned

Qualifications for printer technician

· Determining how a system should work and how changes in conditions, operations, and the environment will affect outcome

· High School diploma or equivalent and 2-4+ year's printer/copier service or industry related experience

· Repairs & performs preventative maintenance on hardware (black / white or color digital copiers)

· Utilizes systems in place for service call tickets, parts usage and transfer of inventory

· Will utilize websites, technical manuals, handbooks and technical publications to keep current with new equipment and enhancements to old

· Valid & Clean driver's license reliable transportation a must

2. SKILLS

Troubleshooting

Hardware

Inventory

Root Cause Analysis

Electrical

Computer Hardware

Network Design

CCTV

Transportation

Operating Systems

Publications

ServiceNow

Manufacturing

3. KEY INFORMATION

Job Post Duration

30 Calendar Days

Number of Vacancies

1

Job Function

Engineering, Information Technology, Repair and Maintenance

Position Level

Fresh/entry level

Minimum Years of Experience

1

Employment Type

Contract, Full Time

Minimum Qualification Level

ITE diploma

Field of Study

Computer Operations/Technical Support

Monthly Salary Range (SGD)

$2,000 - 2,800

Government Support

No schemes selected

4. WORKPLACE DETAILS

Workplace Address

Local

Postal Code

339155

Block/House No.

11

Street Name

KALLANG PLACE

Building Name (optional)

5. SCREENING QUESTIONS

There are no screening questions for this job postin

To provide maintenance support to clients. The Cyber Maintenance Engineer will play a key part in Technology Services Delivery team to ensure security solution maintained at the highest quality and standard.

• Perform research on latest vulnerabilities
• Provide technical consulting and advisory on cyber security and firewall products
• Provide post-installation troubleshooting and technical support 
• Keeping up-to-date with the latest news and threats in the security industry

• Remuneration: Up to $5800 + Fixed Allowances $280
• Rewards: Enjoy AWS and Variable Bonus
• Location: Jurong Island, Transport Provided at Designated Point
• Company: MNC Chemical Manufacturing Industry

Role Overview:

Our client is seeking a dynamic individual to lead the mechanical team in overseeing inspection and maintenance activities within chemical plant. If you have a passion for ensuring operational excellence and thrive in a collaborative environment, this role is for you.

Responsibilities:

• Lead a team of mechanical supervisors and contractors in executing plant inspection and modification works promptly and safely.
• Manage the plant painting program to uphold facility integrity.
• Coordinate with various stakeholders to ensure seamless execution of plant modification works while prioritizing safety and facility integrity.
• Conduct training sessions to enhance the skill and competency levels of staff and contractors.
• Implement management systems aligned with ISO standards, ensuring adherence to quality and environmental regulations.
• Maintain meticulous documentation and filing of inspection records using our Data Management System.

Requirements:

• Bachelor's degree in Mechanical Engineering or Material Engineering.
• Minimum of 2 years' experience in fixed equipment and piping inspection within the chemical, petrochemical, or oil and gas industry.
• Proficiency in corrosion under insulation (CUI) or coating inspection preferred.
• API certification is advantageous.
• Strong analytical and problem-solving skills.
• Excellent communication abilities with cross-functional teams and contractors, fostering a spirit of collaboration and teamwork.

Interested candidates can forward their CVs in MS Word format to [email protected]

Reg No. R1983718

Triton AI Pte Ltd

License no. 21C0661

• Remuneration: Up to $5800 + Fixed Allowances $280
• Rewards: Enjoy AWS and Variable Bonus
• Location: Jurong Island, Transport Provided at Designated Point
• Company: MNC Chemical Manufacturing Industry

Role Overview:

Our client is seeking a dynamic individual to lead the mechanical team in overseeing inspection and maintenance activities within chemical plant. If you have a passion for ensuring operational excellence and thrive in a collaborative environment, this role is for you.

Responsibilities:

• Lead a team of mechanical supervisors and contractors in executing plant inspection and modification works promptly and safely.
• Manage the plant painting program to uphold facility integrity.
• Coordinate with various stakeholders to ensure seamless execution of plant modification works while prioritizing safety and facility integrity.
• Conduct training sessions to enhance the skill and competency levels of staff and contractors.
• Implement management systems aligned with ISO standards, ensuring adherence to quality and environmental regulations.
• Maintain meticulous documentation and filing of inspection records using our Data Management System.

Requirements:

• Bachelor's degree in Mechanical Engineering or Material Engineering.
• Minimum of 2 years' experience in fixed equipment and piping inspection within the chemical, petrochemical, or oil and gas industry.
• Proficiency in corrosion under insulation (CUI) or coating inspection preferred.
• API certification is advantageous.
• Strong analytical and problem-solving skills.
• Excellent communication abilities with cross-functional teams and contractors, fostering a spirit of collaboration and teamwork.

Interested candidates can forward their CVs in MS Word format to [email protected]

Reg No. R1983718

Triton AI Pte Ltd

License no. 21C0661

Industry: Chemicals

Function: Maintenance

• Leadership: Lead and manage a team of mechanical supervisors and contractors to ensure efficient execution of plant maintenance, modification, and construction activities. Foster a culture of safety, quality, and productivity within the team.
• Coordination: Collaborate closely with plant operators and other maintenance groups to schedule and execute maintenance and modification works, prioritizing safety and minimizing disruption to plant operations.
• Technical Expertise: Conduct mechanical studies and analyses to optimize plant facilities according to technical specifications and business requirements. Identify opportunities for improvement and implement effective solutions.
• Troubleshooting: Perform in-depth technical investigations on equipment issues, evaluate findings, and develop actionable recommendations to prevent recurrence and improve reliability.
• Training and Development: Develop and deliver training programs for staff and contractors to enhance their skills and competencies, ensuring they are equipped to perform their roles effectively and safely.
• Emergency Response: Respond promptly to plant emergency calls and troubleshoot mechanical issues within tight timelines, demonstrating quick thinking and effective problem-solving abilities.
• Compliance: Implement and maintain management systems in accordance with ISO 9001, ISO 14001, ISO 45001, and SS651 standards, ensuring adherence to regulatory requirements and best practices in maintenance management.

• Degree in Mechanical Engineering with at least 2 years’ relevant experience in mechanical facilities maintenance in oil/ petrochemical/ power industry
• Hands on experience in performing troubleshooting and repair work of static equipment and rotating equipment (e.g. heat exchangers, pressure vessels, agitators, pumps, compressors, and blowers)
• Ability to communicate effectively with staff across different functions and contractors, fostering a collaborative environment conducive to teamwork and knowledge sharing
• Proficient in Microsoft Office applications
• Basic knowledge of SAP applications is advantageous

• Responsible for the maintenance and repair of electrical equipment and systems in the chemical plant.
• Inspect and troubleshoot electrical systems, including power distribution, motors, control panels, and lighting.
• Perform preventive maintenance tasks to ensure the reliability and safety of electrical instrumentation system.
• Carry out instrumentation application study and modification of plant facilities according to technical specification and business requirements.
• Coordinate with other departments and contractors for maintenance and repair projects.
• Maintain accurate records of maintenance activities and equipment history.
• Ensure compliance with safety regulations and industry standards.

• Bachelor's degree in Electrical & Electronics Engineering or related field.
• Minimum 3 years of experience in electrical maintenance, preferably in a chemical plant.
• Basic knowledge in programmable logic controller (PLC) and human machine interfaces (HMI) will have an added advantage
• Proficient in troubleshooting and repair of electrical systems.
• Excellent problem-solving and analytical skills.
• Good communication and teamwork skills.
• Ability to work in a fast-paced environment and handle multiple tasks.

Interested candidates please send in resume to [email protected]

Triton AI Pte Ltd
License no. 21C0661

• Permanent Role with AWS, work allowances and lots more perks & benefits.
• Work location in Jurong Island, Company Transport Provided at Jurong East.
• Entry Level for Degree in Electrical Power Engineering will be considered.
• Experienced candidates must be familiar with circuit power calculation.

Requirements:

• High school diploma.
• A relevant degree, certification, or license may be required.
• Experience as a technician.
• A driver's license.
• Ability to multitask and liaise with professionals in different fields.
• Ability to explain problems simply and clearly.
• Proficiency in MS Office.
• Ability to understand verbal and written instructions.
• Ability to follow health and safety regulations.
• Excellent mathematical and problem-solving skills.
• Negotiating with suppliers and clients.
• Writing up reports, safety regulations, and preventative maintenance plans.
• Fabricating any components required.
• Providing time and material cost estimates before starting a job.

• Lead a team of mechanical supervisors and contractors in performing all the plant inspection and modification works to ensure work are carried out timely, safely and with good maintenance practices with no disruption to plant operations.
• Manage and lead the plant painting program to ensure the integrity of plant facility.
• Coordinate with plant operators and other maintenance groups in the execution of plant modifications works with no compromise to safety of workers and integrity of facilities.
• Conduct and arrange training for staff and contractor to enhance their skill and competency levels.
• Implement management systems based on standards stipulated under ISO 9001, ISO 14001 and SS651.
• Maintain proper documentation and filing of inspection records and reports in Data Management System.

• Degree in Mechanical Engineering or Material Engineering.
• Minimum 2 years of relevant work experience in fixed equipment and piping work related to petrochemical, oil and gas industry.
• Good analytical & problem-solving skills
• Ability to communicate with staff in different functions & contractors, strong spirit of collaboration & teamwork.

Interested candidates can forward their CVs in MS Word format to [email protected]

Reg No. R1875181

Triton AI Pte Ltd

License no. 21C0661

• Up to $5500 + Fixed Allowances $300
• Permanent Role with AWS and 3 Months Variable Bonus
• MNC Chemical Plant, Jurong Island with Company Transport Provided at Jurong East
• Experiences in fixed equipment and piping maintenances are essential

Detail:

• Location: Jurong Island, Singapore (Transport provided at designated point)
• Employment Type: Permanent  
• Compensation: Competitive Salary with AWS and 3 Months Variable Bonus  

Responsibilities:

• Oversee maintenance and instrumentation activities in manufacturing plants to ensure safe and smooth operations.
• Coordinate and execute major field maintenance projects, prioritizing worker safety and facility integrity.
• Liaise with internal and external stakeholders to coordinate maintenance activities, ensuring timely completion and minimal disruption to plant operations.
• Conduct instrumentation application studies and modify plant facilities to align with technical specifications and business requirements.
• Conduct training sessions for staff and contractors to enhance their skills and competencies.
• Implement management systems based on ISO 9001, ISO 14001, and SS506 standards.

Requirements:

• Bachelor's degree in Electrical Engineering with a focus on Power/Energy Modules.
• Basic knowledge of programmable logic controllers (PLC) and human-machine interfaces (HMI) is advantageous
• Strong analytical and problem-solving skills.
• Ability to communicate effectively with staff across different functions and contractors. A spirit of collaboration and teamwork is essential.

How to Apply:

Interested candidates are invited to forward their CVs in MS Word format to [email protected]

Reg No: R1549345
Triton AI Pte Ltd  
License No: 21C0661

Royal Ocean Marine is currently seeking a highly motivated and experienced maintenance engineer to join our client's team. As the Senior Facilities / Maintenance Engineer, you will be responsible for assisting the Facility / Maintenance Manager in overseeing all manufacturing operations and ensuring the smooth and efficient production processes. You will work closely with the production team to optimize productivity, improve quality, and implement continuous improvement initiatives.

Responsibilities

• Assist the Facilities / Maintenance Manager in managing and leading the team to meet targets
• Collaborate with cross-functional teams to identify and implement process improvements and cost-saving measures
• Ensure adherence to quality standards and implement quality control measures
• Monitor production schedules and resource allocation to optimize efficiency
• Develop and maintain documentation and procedures related to processes
• Manage and resolve any production issues or bottlenecks
• Ensure compliance with safety regulations and promote a safe working environment

• Bachelor's degree in Mechanical or Electrical/Electronic Engineering or equivalent.
• About 5 years in a supervisory or managerial role
• Excellent leadership and team management skills
• Ability to analyze data and make data-driven decisions
• Strong problem-solving and decision-making skills
• Excellent communication and interpersonal skills
• Proficient in Microsoft Office Suite
• Those with more senior experience will be considered for assistant manager.
• Experience in manufacturing or engineering /automation companies will be added advantage

Chan Chee Meng

EA 07C3069

R1110620