Total 26,045 production engineer job vacancies in Singapore

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION
NLP Engineer

REPORTING STRUCTURE

The NLP Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE
As an NLP Engineer at LTS, you will play a crucial role in developing and enhancing our AI-driven products and services. We're seeking a skilled Data/NLP Engineer to join our team to develop and drive a data strategy to optimise model performance and manage the data pipelines for training and evaluating our custom LLMs.

RESPONSIBILITIES

• Work closely with domain experts to understand data sources, formats and structure.
• Collaborate with Machine Learning Engineers and MLOps Engineers to understand data requirements for LLM training and inference.
• Engage in data engineering tasks, including data collection, preprocessing, quality control and augmentation to ensure high-quality datasets for model training.
• Develop from scratch and fine-tune both traditional NLP and LLM models on LTS cloud infrastructure, optimizing for safety and performance (measurable via benchmarks)
• Collaborate with domain experts and carry out independent research to optimise and develop product evaluation suites to measure model and product performance.
• Explore and implement techniques for mitigating bias and ensuring fairness within the training data for the LLM.
• Lead in the development and implementation of strategies for data augmentation improve LLM performance.
• Collaborate with AI and MLOps Engineers to integrate NLP models into automated pipelines.
• Stay abreast of the latest NLP techniques and methodologies, experimenting with new models and approaches to maintain our competitive edge.
• Conduct rigorous testing and validation of NLP models to ensure robustness and reliability.
• Document and present model development processes, results, and insights to both technical and non-technical stakeholders.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
• Proven experience in NLP or related areas, with a strong portfolio of projects demonstrating expertise in data engineering and model training/finetuning.
• Solid understanding of machine learning algorithms, language modeling, and their applications.
• Proficiency in programming languages such as Python, and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face).
• Experience with cloud computing platforms and services, and the ability to deploy and manage large models in a cloud environment.
• Strong problem-solving skills, with a creative and analytical approach to tackling complex challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

Job Responsibilities

• Inspect the hotel's rooms, common areas, and back-of-house spaces regularly.
• Perform preventive maintenance on HVAC, plumbing, electrical systems, lighting, and mechanical equipment.
• Handle minor repairs like fixing doors, replacing light bulbs, and repairing furniture.
• Respond quickly to guest complaints about maintenance issues (e.g., broken fixtures or malfunctioning equipment).
• Ensure all guest room amenities, such as air conditioning, lighting, and appliances, are working properly.
• Carry out basic electrical repairs like rewiring outlets, replacing light fixtures, and fixing power issues.
• Repair plumbing problems, including leaks, clogged drains, and faulty water systems.
• Check fire alarms, sprinklers, and emergency lighting regularly for safety.
• Maintain proper chemical levels in the swimming pool and spa.
• Create and follow a preventive maintenance schedule for hotel equipment and infrastructure.
• Work with outside contractors for specialized services (e.g., elevator maintenance, pest control).
• Monitor and evaluate contractors' work to ensure it meets hotel standards.
• Track energy usage and suggest ways to improve efficiency, such as using energy-saving equipment.
• Provide regular maintenance updates to hotel management.

Job Requirements

• Skilled in HVAC, electrical, plumbing, and general maintenance.
• Strong troubleshooting, problem-solving, and communication skills.
• Detail-oriented with a focus on safety.
• Physically fit for rotating and overnight shifts.

As a Research Engineer here, you will be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed.

The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems. We expect engineering to play a key role in most major advances in AI of the future.

We expect you to:

• Have strong programming skills
• Have experience working in large distributed systems
• Be excited about OpenAI’s approach to research

Nice to have:

• Interested in and thoughtful about the impacts of AI technology
• Past experience in creating high-performance implementations of deep learning algorithms

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

Purpose of the role:

• Ensure customer satisfaction in service provisioning (transmission, routers, switches) and quality of service.
• Manage all monitoring aspects of network deployments.
• Coordinate all post-sales matters triggered by both internal and external customers.
• Drive continuous improvement in services offered.
• Supervise and oversee engineering operations and functionality.
• Conduct POC testing for network equipment.
• Develop strategies and manage risks for network operations.

Major Responsibilities:

• Plan, project manage, and implement network engineering projects.
• Install and configure DWDM, switches, routers, and firewalls within core and access networks.
• Proactively monitor core production network infrastructure and support systems to ensure continuous service delivery and optimal network performance.
• Propose operational improvements to management involving workflow optimization.
• Create and maintain detailed engineering documentation for proper operations.
• Ensure operational processes and procedures are ITSM compliant.
• Ensure smooth internal workflows and proper escalation procedures.
• Manage the lifecycle of existing network equipment, including capacity planning, network improvement, preventive maintenance, migration, and decommissioning.
• Follow change request processes to ensure high customer service uptime.
• Draft and prepare Incident and Outage Reports in a timely manner.
• Submit all reports, such as Monthly Reports, RFOs, and Incident Reports, promptly.
• Provide full support to NOC & engineers and ensure engineering meets all deliverables and SLA targets.
• Manage IP addresses (IPv4 & IPv6).
• Support Product & Sales workgroups on all new network planning.

Competency/ Technical Skills Required

• Bachelor’s Degree (Computer Science, Information Systems) or equivalent applicable experience required.
• Minimum 5 years working experience in related field
• Strong analytical; skills and has a flair for dealing with technical and operational problems.
• Good interpersonal skills and fluent in communication.
• Strong analytical and troubleshooting skills.
• Enthusiasm and drive to creatively evolve the network using unconventional methods.
• Possess experience in ISP environment will be an advantage.
• Demonstrated ability to work independently, as well as within teams required.
• Ability to work off working hour whenever necessary.
• Formal IT qualification Cisco Certified Network Associate (CCNA) is a must. Candidate with CCNP/CCDP is highly preferred

Job Description

1. Deploys Engineering decision-making to troubleshoot and resolve mechanical equipment breakdowns

2. Identify and address potential issues before they escalate to prevent unplanned downtime.

3. Achieving 0 LTIF target through ensuring safety procedures are followed through SOP, TRA, employees wearing full PPE during work, developing safety procedures

4. To support the section in terms of external resources/vendor management

5. To drive safety, cost, energy and reliability improvement projects in MSP through application of Mechanical integrity and quality assurance

6. Recommend and implement modifications or upgrades to enhance machinery reliability.

7. Maintain accurate records of maintenance activities, including repairs, replacements, and inspections.

8. Perform root cause analysis and work towards resolutions

9. Oversee all required engineering qualification tests on project; ensure compliance with all outside parties involved

10. Participate in test runs and field installations

11. Analysing and interpreting data

12. Stay updated on industry trends, new technologies, and best practices in mechanical maintenance.

13. Provide training to maintenance technicians and operators on equipment usage and maintenance procedures

Job Requirements

1. Proven experience of supervising and managing mechanical site activities for large scale manufacturing project from inception to completion.

2. Strong knowledge of mechanical systems, hydraulics, pneumatics, and rotating equipment.

3. Possess strong leadership.

4. Possess strong orientation towards results.

5. Possess good teamwork capabilities

6. Possess good project and time management.

7. Ability to work to an ethical code of conduct

RESPONSIBLITIES

• Must have knowledge in product stewardship in the following areas; Change Management, New enhancement, Tech knowledge, Customer Compliance and Product Testing.
• Must have actual on-site deployment experience.
• Possess knowledge on treatment of waste management.
• Ensure plant processes and controls are in compliance with Industry ISO standards and local and international regulations. Possess knowledge and certification in ISO 9001, ISO 45001 and FSSC 22000.
• Align all quality production activity to meet operations objectives and sales targets.
• Recommend new quality checks to improve product quality inspections for production and all quality related issues.
• Perform random product quality inspections & prepare documentations needed to meet and achieve industry certification for produced finished products.
• Responsible for all QA and QC processes as well as all safety and environmental practices within the plant. To review, establish and update.
• Conduct internal reviews and audits for regulatory compliance, prepare audit reports and ensure corrective actions are followed up.
• Handle customer complaints and provide resolution.
• Conduct, analyses & report incident investigations, and oversee recommendations for proper follow-up and closure.
• Manage plant safety, health and environment protection together with Production Manager.
• You will also be responsible for any office safety compliance and to work with the respective office building management, if needed.
• This role will report to Head Quarters Quality Compliance (Germany) and the General Manager (Singapore).
• Any other duties as and when required to be done by superior.

REQUIREMENTS

• Min Diploma, bachelor degree or equivalent
• Possess at least 4-5 years experience in QA and QC in plastic manufacturing industry
• Independent, self-motivated, resourceful and to have accountability
• Adaptable and competent person who understands not only ISO but the regulatory requirements.
• Experienced in Diagnostic troubleshooting skills
• Able to write reports and present confidently

HOW TO APPLY:

Interested applicants, kindly click on "Apply Now" or send your resume in MS WORD format to hestia.wong(at)trustrecruit.com.sg

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Wong Ying Huan (Hestia)

EA Personnel Reg No: R24122431

Job description

RESPONSIBLITIES

• Must have knowledge in product stewardship in the following areas; Change Management, New enhancement, Tech knowledge, Customer Compliance and Product Testing.
• Must have actual on-site deployment experience.
• Possess knowledge on treatment of waste management.
• Ensure plant processes and controls are in compliance with Industry ISO standards and local and international regulations. Possess knowledge and certification in ISO 9001, ISO 45001 and FSSC 22000.
• Align all quality production activity to meet operations objectives and sales targets.
• Recommend new quality checks to improve product quality inspections for production and all quality related issues.
• Perform random product quality inspections & prepare documentations needed to meet and achieve industry certification for produced finished products.
• Responsible for all QA and QC processes as well as all safety and environmental practices within the plant. To review, establish and update.
• Conduct internal reviews and audits for regulatory compliance, prepare audit reports and ensure corrective actions are followed up.
• Handle customer complaints and provide resolution.
• Conduct, analyses & report incident investigations, and oversee recommendations for proper follow-up and closure.
• Manage plant safety, health and environment protection together with Production Manager.
• You will also be responsible for any office safety compliance and to work with the respective office building management, if needed.
• This role will report to Head Quarters Quality Compliance (Germany) and the General Manager (Singapore).
• Any other duties as and when required to be done by superior.

REQUIREMENTS

• Min Diploma, bachelor degree or equivalent
• Possess at least 4-5 years experience in QA and QC in plastic manufacturing industry
• Independent, self-motivated, resourceful and to have accountability
• Adaptable and competent person who understands not only ISO but the regulatory requirements.
• Excellent interpersonal communication skills
• Experienced in Diagnostic troubleshooting skills
• Able to write reports and present confidently

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format to leo.tang(at)trustrecruit.com.sg

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Tang For Farn (Leo)

EA Personnel Reg No: R24121981

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION

MLOps Engineer

REPORTING STRUCTURE

The MLOps Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE

We are seeking an experienced MLOps Engineer specializing in large language models at LawNet Technology Services. You will be at the forefront of operationalizing and scaling our AI capabilities. This role demands a unique blend of skills in machine learning, software engineering, and cloud technologies to efficiently deploy, monitor, and manage our large language models in production. Your expertise will directly contribute to the reliability, efficiency, and scalability of our AI services.

RESPONSIBILITIES

• Design and implement robust MLOps pipelines tailored for large language models, ensuring seamless transition from development to production.
• Work closely with data scientists and AI researchers to automate and optimize the model training, fine-tuning, inference and evaluation processes for our large language models on cloud infrastructure.
• Ensure the LLM can be seamlessly integrated with the serving infrastructure managed by the software engineering team.
• Explore and implement techniques for continuous learning of the LLM as new user data becomes available.
• Develop and implement strategies for monitoring model performance (accuracy, latency, fairness) in production.
• Set up alerts and dashboards to proactively identify and troubleshoot potential issues with the LLM.
• Stay up-to-date on the latest advancements in MLOps tools and methodologies.
• Implement monitoring and logging systems to track model performance, resource utilization, and operational health, enabling proactive maintenance and optimization.
• Ensure compliance with data privacy and security protocols throughout the model lifecycle.
• Facilitate continuous integration and delivery (CI/CD) processes for machine learning models, incorporating automated testing and quality assurance practices.
• Collaborate with stakeholders to understand operational requirements and challenges, translating them into technical solutions that enhance our AI capabilities.
• Stay updated with the latest advancements in MLOps, cloud technologies, and large language model development, incorporating best practices to maintain our competitive edge.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Solid experience in MLOps, DevOps, or software engineering, with a specific focus on machine learning and large language models.
• Strong experience in building and managing machine learning pipelines.
• Proficiency in cloud computing platforms (AWS, GCP, Azure) and services related to machine learning and large-scale computing.
• Strong background in containerization and orchestration technologies (Docker, Kubernetes), as well as infrastructure as code (Terraform, CloudFormation).
• Demonstrated ability in programming with Python and experience with ML frameworks (TensorFlow, PyTorch, Hugging Face).
• Understanding of best practices for data security, privacy, and compliance in the context of AI and machine learning.
• Excellent problem-solving skills, with the ability to work in a fast-paced, evolving environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

Our Client:

• Cranes Lifting Industry
• 5 Days, Office Hours
• West Region
• Up to $4500 + $1000 Monthly Transport Allowance

Responsibilities:

• Meet project timelines and comply with Workplace Safety and Health regulations.
• Coordinate with different departments to ensure efficient project management.
• Document meeting minutes to prevent disputes over delays.
• Build and maintain strong relationships with site parties to make sure smooth project execution.
• Monitor project cash flow and ensure progressive payment claims are timely submitted.
• Check and approve Workplace Safety and Health documents to ensure safe work practices.

Requirements:

• Diploma in Mechanical Engineering or similar relevant qualification.
• 2 years of relevant experience in Industrial Products project management preferred.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

• To analyse user requirements and design, develop, implement and maintain computer applications to support and assist users to meet their business objectives more effectively and efficiently.
• Develop, support and enhance the Data Download Centre (including Engineering Portal) and iSCM websites.
• Develop, support and enhance Excel productivity enhancement tools (VBA macros).
• Support end-users in usage of Plasma and ACCPAC and help to resolve any operational issues, including working together with vendor (Databit) if necessary.
• Develop and enhance data extraction and transformation mechanisms on source systems (e.g. Plasma, YEOS, NYQT, Oracle BI, SAP RFC, PTS etc.) and store the results into Plasma Info Server Monitor the space consumption of Plasma Info so that Server database so that potential problems (e.g. disproportionate consumption of disk space by a particular table, depletion of data tablespace, excessive consumption of temp tablespace) are detected and resolved early to avoid unscheduled database downtime.
• Perform ad-hoc retrieval of order/production/sales data to support incident investigation, reporting or other requests.
• Support Migration Activities of Existing Plasma Info Server to SAP.
• Support & ensure successful implementation of Company-wide Automation (ERP) Projects.

Requirements:

• Degree in Info Systems/Computer Science or its equivalent
• Prefer 2-3 years relevant experience in Manufacturing Industry.
• Entry level are welcome to appy as training will be provided.

Knowledge:

SQL; Oracle PL/SQL; MS SQL Server Transact-SQL

Object-oriented analysis and design

ASP.NET 4.5.1; C/C++/C#; XML

JavaScript; JQuery; CSS; HTML

Excel VBA; VBScript; PowerShell

PHP, VS.Net, MSOffice

Interested Applicants, kindly email your detailed resume to [email protected]

Tempserv Pte Ltd

License No: 06C3745

Attention: Audris Teo / EA Personnel No: R1102063

Responsibilities:

• Lead and manage fragrance production operations to meet production target and customer’s specifications

• Provide leadership and work directions to the production team in consistent with business objectives and company policies.

• Responsible for the production manpower planning, hiring, allocation and cost control.

• Ensure finished products that comply with customer specifications and company regulatory requirements and standards

• Investigate and find out the root cause with regards to customer complaints and internal rejects

• Work closely with Planning, Purchasing and Research & Development Departments to ensure efficient stocks level of raw materials to meet timely delivery of finished products

• Ensure that the Standard Operating Procedures (SOP's) are current, accurate and team are trained in the relevant job according SOPs.

• Initiate reviews of production budget, processes, policies and procedures to improve efficiency, reduce cost and increase productivity whilst maintaining industry standards of quality and safety

• Monitor, study and improve on machine utilization, work & material, production cost performance and initiates cost reduction program

• Identify, plan and coordinate developmental training needs for staff to maintain standards of competencies.

Qualifications:

• Degree in Chemical Engineering, Manufacturing, or related field
• 5 years of experience in a Chemical manufacturing operation
• 3 or more years of experience in a Managerial or leadership role
• Demonstrated good organizational and interpersonal skills and able to communicate well with all levels of staff in the organization.

JOB RESPONSBILITIES:

DIPLOMA

• Provide technical support for manufacturing operations
• Conduct process validation
• Perform maintenance, troubleshooting and calibration on Machines / Equipment
• Liaise with supplier on all technical purchases
• Co-ordinate with supervisor / leader on production schedule / audit / stock take etc.
• Any other tasks assigned by superior by time to time.

JOB REQUIREMENTS:

• Diploma in Electrical / Mechanical Engineering or related discipline

All qualified applicants, please click “ APPLY NOW”

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Assist and report to the Project Manager at construction site.

Ensure works are carried out according to the approved technical drawings, quality procedures, EHS and ISO requirements.

Ad-hoc matters as assigned by the PM which is necessary for the execution of the project.

EA Licence No. 16C7962

ABOUT US
LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION
AI/ML Engineer (Backend)

REPORTING STRUCTURE

The AI/ML Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE
As an AI/ML Engineer at LTS, you will play a crucial role in developing and enhancing our AI-driven products and services. We're seeking a talented Software Engineer to join our team and be responsible for deploying, maintaining, and scaling the infrastructure that serves our custom LLMs for a variety of use cases.

RESPONSIBILITIES

• Design, develop, and implement highly scalable backend services on AWS to support efficient training and inference of our LLM.
• Keep abreast of developments in AWS or other services to manage the LLM training and inference operations.
• Develop and optimise APIs to facilitate communication between the LLM and frontend applications for user interaction with functionalities from a variety of use cases.
• Design and implement data pipelines for efficiently moving training data to and from the LLM training environment on AWS (e.g., S3 Buckets, EFS storage).
• Integrate containerization technologies like Docker and container orchestration platforms like Amazon Elastic Kubernetes Service (EKS) for managing the LLM inference environment.
• Configure and implement robust security practices within your backend services to protect the LLM and user data at rest and in transit.
• Develop and implement logging and monitoring solutions (e.g., CloudWatch Logs, CloudWatch Metrics) to track the health and performance of the backend infrastructure and the LLM.
• Collaborate with ML and Front Eng Engineers to understand their specific requirements for training and inference, and translate those needs into efficient backend solutions.
• Collaborate with MLOps Engineers to automate the deployment and management of backend services and the LLM.
• Stay up-to-date on the latest advancements in AWS services relevant to backend development and LLM infrastructure.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
• Proven experience in NLP or related areas, with a strong portfolio of projects demonstrating expertise in data engineering and model training/finetuning.
• Solid understanding of machine learning algorithms, language modeling, and their applications.
• Proficiency in programming languages such as Python, and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face).
• Familiarity with popular vector database platforms like Pinecone, Faiss, or Milvus would be beneficial.
• Experience with cloud computing platforms and services, and the ability to deploy and manage large models in a cloud environment.
• Experience with data pipelines and data processing tools on AWS (e.g. AWS Lambda).
• Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation
• Strong problem-solving skills, with a creative and analytical approach to tackling complex challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

Responsibilities:

• Design systems and select equipment, electrical, instrumentation, and controls.
• Review customer specifications and drawings to ensure requirements are met.
• Define work scope and specifications for contractors.
• Oversee plant startup, testing, commissioning, and troubleshooting activities.
• Lead all aspects of electrical engineering, including the design of electrical power distribution systems, switchboards, MCCs, and control systems.
• Responsible for creating Single Line Diagrams and Control Schematic drawings.
• Enhance engineering capabilities and collaborate with the sales team on project proposals and bids.
• Review customer specifications and drawings for accuracy and compliance.
• Execute projects and perform loop checks.
• Prepare and manage tender activities.

Requirements:

• Possess Diploma/Degree
• Minimum 3 years of experience
• Experience in FEED of LV/MV switchboards, MCC, MCB, Control Panels etc and in Water & Waste Water industries

Kindly email your resume in a comprehensive Word format to [email protected]

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

Please be informed that by applying for the advertised position, the candidate is considered to have given their consent for us to collect, utilize, or disclose their personal information for the purposes related to the services we provide.

Jacqueline Goh

EA License Number: 22C1430

Registration Number: R1326664

Job Responsibilties:

• Plan and design mechanical engineering works for building services.
• Prepare reports, specifications, calculations, drawings and other documents prepared for the different stages of a project.
• Conduct design presentations, review shop drawings and material/equipment submissions, handle RFIs and other contract administration duties.
• Oversee the installation, testing and commissioning of Mechanical engineering works.

Job Requirements:

• Degree in Mechanical Engineering from a University recognized by the Professional Engineers Board, Singapore.
• Minimum 3-5 years of relevant experience in mechanical engineering design.
• Good working experience in a consulting firm with proven track records in major development projects.
• Knowledge of mechanical engineering design systems software.
• Knowledge of AutoCAD and/or Autodesk Revit is advantageous.
• Conversant with local codes and regulations, and authority submission procedures.
• A team player, able to work both independently and as a group, ensuring excellent project delivery to Clients and other stakeholders.

Job Descriptions:

* Development & Implementation of IoT Application, Robotic, Building Automation, Industrial Automation, Process Control Application.

* Implementation of IoT, Robotics, Automation, Instrumentation and Control, Testing and Commissioning, Technical Support, Customer Service, PLC Programming, SCADA / HMI programming, Computer and Server, Industrial Networking

* Responsible for design & development, implementation, onsite testing & commissioning, support, documentation and training

* Ad-hoc engineering support to customer when required.

* Willing to work on fast pace environment.

Job Requirements:

* Relevant graduate degree for Engineering (Electrical, Mechanical, Computing, or Mechatronic)

* Min 1-2 yrs experience in good engineering practice, process automation, robotic, service and maintenance. Fresh graduates are welcome.

* Hands on experience in IoT implementation

* Knowledge of Building Automation & Process Control

* Experience in IoT, BMS / PLC / HMI process control / automation system, onsite commissioning

* Good technical skills in embeded programming, Allen-Bradley / Siemens PLC programming, SCADA

* Strong problem-solving and analytical skills

* Hardware configuration and software coding

* IT knowledge for Server/Client and Infrastructure

* Electrical, instrumentations and control knowledge

* Customer orientated

* Analytical thinking

* Good communication skills for both written and spoken

* Ability to work well with others in a team environment, providing input and feedback in a helpful manner.

* Able to interact well with vendors.

* Strong team player with excellent interpersonal and communication skills, ability to work independently, Pro-active and able to work in a fast paced environment and handle multiple tasks when required.

* Willing to travel to overseas on short notice and work after office hour, weekend and public holiday.

Interested applicant please send resume with expected remuneration to [email protected]

We regret that only shortlisted candidates will be notified.

Assist and report to the Project Manager at construction site.

Ensure works are carried out according to the approved technical drawings, quality procedures, EHS and ISO requirements.

Ad-hoc matters as assigned by the PM which is necessary for the execution of the project.

EA Licence No. 16C7962

Job Description:

• Analyze SPC charts using SPACE. Know all the PR rules and their significance. Do proper annotation to maintain quality troubleshooting rate for SPC OOC. Understand Cp and Cpk indices
• Monitor critical SPC charts daily. Perform process window study and provide improvement plan to reduce OOC and improve CPK
• Analyze split lot, DOE data, ET, sort yield using JMP, Klarity ACE.
• Create SPC charts, DCOP and modify SLDB using PROMIS (Si-View).
• Upload recipe, check recipe and ensure recipe content compliance using RMS.
• Follow up on SPSR, MRB, 8D, TECN, or spec update with ECN.
• Setup and troubleshoot in recipes/ job files in all metrology tools within the Module.
• Follow up on passdown to troubleshoot process issues. Establish CAS / procedures to be followed and work with other departments for resolution if required.
• Startup and qualify new process and new equipment within scheduled timeline. Work closely with the Equipment Engineer on new equipment acceptance. Know the concept of repeatability and reproducibility (R&R) run.
• Work on reducing process constraint so that Mfg can have more flexibility.
• Perform process matching between equipments to reduce variation and analysis / DOE to find factors for better tool matching.
• Participate in CIP programs to optimize process window, cost, yield, and productivity.
• Work as a team with both Equipment and Mfg Engineers to meet Module objectives. Work to meet the key indices of Uptime and OEE goals.
• Represent own Module to attend cross-functional task team to address yield improvement/ excursion issues. Follow up with cross-fab benchmarking activities to engage the best-in-campus practices across fabs.
• Self audit and update specifications/ documentation to meet TS16949 Quality Standard requirements.
• Follow good housekeeping and safety rules in office and FAB.
• Provide feedback/ training to AEs or Techs on their troubleshooting skills, understanding of processes, decision making, risk assessment.

Requirements:

• Degree in Electrical / Electronics / Microelectronics / Chemical Process / Chemistry / Physics
• Fresh Degree Graduate with Engineering specilization in the above or 2-3 years of relevant work experience
• Strong interest in semiconductor process
• An excellent team player with good interpersonal, communication and written skills
• Strong logical thinking capability and good analytical skill
• High level of integrity with strong leadership attributes to lead and coach a team
• Highly committed with good ownership and accountability
• Able to adapt in a fast pace environment and work under pressure
• Proficient in MS Office Applications

Job Responsibilities:

• Responsible for leading the planning and design of Mechanical engineering works for building services and infrastructure works.
• Review reports, specifications, calculations, drawings and other documents prepared for the different stages of a project.
• Supervise the installation, testing and commissioning of Mechanical engineering works.
• Work together with other disciplines in feasibility studies and design, as well as to ensure excellent service delivery to Clients.
• Job Title will correspond with project experience acquired and individual competency in technical knowledge/skills, project management and contract administration.

Job Requirements:

• Degree in Mechanical Engineering recognised by the Professional Engineers Board, Singapore.
• Ideally registered with the Professional Engineers Board, Singapore.
• Minimum 6-8 years of relevant experience in Mechanical engineering design for building services and infrastructure works.
• Good working experience in a consulting firm with a proven track record in major development projects.
• Conversant with local codes and regulations, and authority submission procedures.
• Strong planning, organizational and supervisory skills.
• Knowledge of AutoCAD and/or Autodesk Revit is advantageous.

• Work closely with project team to assist Quality and Validation Manager Asia region to the tasks on schedule and within quality standard compliance.
• Responsible completion of the Quality, Cost, and Time validation functions for customer projects.
• Create and maintain qualification/validation documentation for mechanical, software, and hardware components from the design phase of projects.
• Oversee the qualification and validation processes for projects in conducting risk analysis, protocol drafting, and test implementation during FAT & SAT process internally and partners’ sites.

Requirements:

• Diploma in Mechanical Engineering or equivalent
• At least 2 years of quality and validation of automated systems experience.
• Proficient in MS Office (Excel, Word and PowerPoint).

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

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: R24120303

• Provide technical support, maintenance and servicing/repairing of equipment, instruments and systems at site.

• Perform on-site installation and setup of equipment and systems with strong competent skills.

• Assist devices checking, technical demo, testing & training for customers.

• Checking technical specification, documentation and drawings plus prewire.

• Understand application process flow, to provide service to users by promptly responding to their queries, with necessary evaluation and prioritization.

Primary Considerations:

1) PR/Singaporean

2) Diploma in Electrical Enginer, at least

Secondary Consideration:

1) BCCPE cert

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Lead development of new process to recycle and reuse metal scraps.
• Research and develop process of upcycling metal scraps (titanium/aluminum alloy).
• Research recycling of 3DP metal powders and reduction of raw material cost.
• Provide development plan and risk mitigation for projects to management.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new material or new technology development.

Requirements:

• Masters / PhD in Materials Science, Metal Material Engineering or Analytical Chemistry.
• 2 years of relevant R&D working experience preferred.
• Have experience in metal material development and qualification in either mold, fixture or product.
• Possess knowledge in material characterization and metal powder production process.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

• L2 Systems Administration
• Microsoft 365 cloud technologies
• Azure cloud technologies

Job Scope:

• Perform L2 Systems Administration in system monitoring, management, disaster recovery and capacity planning
• Perform on-prem and cloud system management in Microsoft, AIX, Virtual (VMWare or Hyper-V), Azure and Microsoft 365 cloud infrastructure such as Entra ID, Exchange Online, SharePoint, Teams, etc
• Participate in design, system set-up and configuration, implementation and deployment of new server and Azure Cloud Technologies
• Plan and manage IT resource for tasks / projects including budgeting and capacity planning
• Update technical documentation pertaining to systems administration for on-premise system, Azure and Microsoft 365 cloud infrastructure
• Perform system maintenance, upgrade, patches and incident resolution outside of working hours when required
• Any related ad-hoc duties as assigned

Requirements:

• Possess Certifications in Azure / Microsoft 365 technologies is advantageous
• Possess experience in system support and server administration including implementing and managing cloud infrastructure with strong understanding of cloud technologies
• Hands-on experience on administrating on premise’s Windows Server, VMWare vSphere and Hyper-V
• Hands-on experience on administrating Microsoft 365 cloud technologies such as Exchange Online, Entra ID, SharePoint Online, Microsoft Defender and Microsoft Intune
• Hand-on experience with implementing and configuring Azure & Amazon Web Services cloud technologies such as virtual machines, application services, load balancer, SQL Managed Instance, site to site VPN, storage solutions, network, security, logging and monitoring
• Knowledge on AIX/ Unix and other IBM products. (IBM WebSphere MQ, WebSphere, Tivoli Storage Manager Backup) will be an advantage
• Possess good communication, problem-solving skill and analytical skills
• Project management experience

To apply please click on the APPLY NOW button or email your resume with the following details inside your resume for faster processing:

• Reason for leaving each past & current employment

• Salary drawn for each past & current employment

• Expected Salary

• Earliest availability date

We regret only shortlisted candidates will be notified. By submitting any application or résumé to us, you will be deemed to have agreed and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration.

Yoong Poh Feng

EA License | 14C7092

EA Registration Number | R1105076

Job Description

* Perform software development and/or Cloud / Virtual / Computer programming with Systems Development Life Cycle (SDLC) methodology

* Implemenmt Cloud Management, Cloud programming, Enterprise Server / Network / Cybersecurity Architecture and databases.

* Develop technical specifications, design, coding, data security, implementation, integration, support, documentation and user guide.

* Experience in Data Analysis and Data Integration

* Handle Design and deliver end-user training and training materials

* Install, configure, troubleshoot and administration of Cybersecurity / System infrastructure/ networking / Windows servers / Disk storage / Cloud Management.

* Provide technical support and management for Server and / or Cloud Application

* Integration & Engineering services

Job Requirements:

* Diploma or Degree in Computer Science, IT or Computer Engineering

* 1-2 Years of similar working experience, Fresh graduate are welcome

* Hands on experience in developing full stack applications in Cloud Computing (AWS, Azure, etc), Cloud Management, Web Application, Computer Application, Process Control Application using, JAVA, NoteJS, Python, etc

* Good technical skills in Database Design, Windows Server, Cloud Application Management;

* Cybersecurity Infrastructure / Networking / firewall implementation and experieice

* Possess positive attitude to learn, has initiative and independent

* Strong analytical skills and able to work under tight timelines

* Strong team player with excellent interpersonal and communication skills, and the ability to work independently Pro-active and able to work in a fast pace environment and handle multiple tasks when required

Interested applicant please send resume with expected remuneration to [email protected]

We regret that only shortlisted candidates will be notified.