Ricardo is a fast-expanding automotive group and an established name with over 40 years’ experience in the automotive industry. The group's businesses include vehicle hire purchase financing operations (Ricardo Cars Pte Ltd), workshop operations (Ricardo Auto Centre Pte Ltd), insurance services (Ricardo Insurance Agency Pte Ltd) and property financing solutions for SMEs in Singapore (Ricardo Financial Services Pte Ltd).

We are looking for a highly motivated Automotive Engineer to join our workshop team. Interested applicants, please email your CV to [email protected].

Job Description:

• Lead a team of automotive technicians
• Carry out maintenance servicing and repair of motor vehicles
• Conduct diagnostic checks, troubleshooting, automatic transmission and engine overhaul
• Perform quality checks and road tests on vehicles
• Liaise with Service Advisor on the service/repairs-related matters
• Provide support to customer service and workshop
• Maintain facilities and equipment of the workshop
• Any other or ad-hoc assignments by the Workshop Manager

Job Requirements:

• Relevant certificates in Automotive Engineering or its equivalent
• Minimum 8 years of relevant working experience in automotive industry
• Knowledge of mechanical, electrical and electronic components of vehicles
• Working knowledge of vehicle diagnostic systems and methods
• Class 3 driving licence
• 5.5 day work week: Mon-Fri 9am to 6pm, Sat 9am to 2pm

Remuneration & Benefits:

• Basic salary from $4,000 to $5,500
• 14 days paid annual leave
• Up to S$280 medical claims per year

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

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

Metric Materials Analysis Pte. Ltd. is a young and dynamic company offering materials analysis and certification services to our customers.

We are seeking an experienced, entrepreneurial and meticulous individual to join us. He or she has to have good organisational and communication skills to perform well in this role.

Job Description

The successful candidate will be working in an air-conditioned, industrial laboratory environment.

Responsibilities include:

1. Maintain operation of laboratory as per ISO 17025.

2. Assist with SAC accreditation.

3. Oversee day to day operations such as carrying out and scheduling test, issue test reports, schedule calibration and maintenance of machines, etc.

4. Implement testing techniques and standard operating procedures in the laboratory.

5. Review and maintain lab risk assessment.

6. Plan testing capacities based on internal and external requirements, ensuring efficient lab operations.

Pre-requisites:

1. Candidates should possess at least a diploma/degree in Applied Science Engineering, Material Science, Civil Engineering, Mechanical Engineering or related fields.

2. Minimum 3 years of experience in lab (rebar & steel testing). Those with experience in other tests will have an advantage.

3. Singaporeans or PR only.

Renumeration & Benefits:

1. Salary range from $3,500 to $4,000

2. 9:00am to 6:00pm

3. 5-day work week

4. Annual bonus & incentives.

Kindly include last drawn salary and character referee(s).

We regret that only shortlisted candidates will be notified.

Main Duties:

• Oversee the construction activities and progress, plan, implement and monitor work
• Schedule in accordance to the master and detailed work program
• Liaise with Professional Engineer on the Temporary works
• Liaise with consultants (QPS) for technical issues and coordinate the site activities with subcontractors
• Handle of technical and engineering problems
• Provide guidance to supervisors in relation to construction works, ensure progress according to schedule,
• Maintain quality standards, carry out site inspections and resolve technical issues on time
• Prepare report and method statement whenever necessary
• Manage and control workers and monitor their work closely to keep site safer and neat
• Supervise ongoing site activities closely

Requirements:

• Degree in Civil Engineering or equivalent
• Minimum 1 year relevant experience
• Able to commit to 6D week and long working hours to meet tight project deadlines

Our Client:

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

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

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

WhatsApp: +65 90820021 (Kyler)

Email: [email protected]

Working day: Monday – Friday
Working Hour: 8:30am - 6:15pm
Salary range: $3,200 - $5,800
Location: Woodlands Ave 9

Job Summary:

The Electrical Controls Design Engineer will be responsible for designing, developing, and implementing control systems for various electrical machines. This role requires a strong background in electrical engineering, control systems, and a deep understanding of machine operations. The ideal candidate will be able to work collaboratively with cross-functional teams to ensure the successful delivery of projects.

Key Responsibilities:

• Design and develop machines control systems, with motion controller, robot, PLCs, HMIs, and servo drives.
• Create detailed electrical schematics, wiring diagrams, and layout drawings.
• Program and configure control systems to meet specific project requirements.
• Source and select control components based on project specifications.
• Execute control system setup, including IO system configuration, servo and step drive setup, and axis tuning.
• Ensure the proper functioning and integration of control components.
• Conduct testing, debugging, and troubleshooting of control systems.
• Collaborate with mechanical engineers, software developers, and other stakeholders to integrate control systems into larger machinery.
• Ensure compliance with relevant safety standards and regulations.
• Provide technical support and training to manufacturing and maintenance teams.
• Participate in project planning, including cost estimation, scheduling, and resource allocation.
• Maintain detailed documentation throughout the project lifecycle.
• Stay updated with the latest industry trends and technologies to continuously improve control system designs.

Requirements:

• Diploma or bachelor’s degree in electrical engineering or a related field.
• 3+ years of experience in designing and implementing control systems for electrical machines.
• Proficiency in programming PLCs, HMIs, and motor drives.
• Experience with CAD software for electrical design (e.g., AutoCAD Electrical, E3, EPLAN).
• Strong knowledge of control theory, electrical circuits, and automation.
• Familiarity with industry standards and regulations (e.g., IEC, IEEE, NEC).
• Ability to manage multiple projects and meet deadlines.
• Experience with robotics and motion control systems.
• Knowledge of communication protocols (e.g., Ethernet/IP, Modbus, CAN).
• Proficiency in programming PLCs, HMIs, and motor drives.
• Experience with simulation software (e.g., MATLAB/Simulink).
• Certification in Control Systems Engineering (CSE) or related credentials.

The Supreme HR Advisory Pte. Ltd | 14C7279

Gan Kai Le | R23112683

Responsibilities:

• Collaborate with Senior Engineers for design requirements and specifications.
• Assist in Analog, mixed-signal, and digital IC design.
• Participate in RTL coding and verification for digital ICs.
• Support design verification tasks.
• Conduct circuit simulations and analysis using Cadence, Synopsys, and Mentor Graphics tools.
• Assist layout engineers with floor planning.
• Analyze and debug silicon failures, suggesting design improvements.
• Contribute to the development of design methodologies to enhance efficiency.
• Document design work and test plans.
• Collaborate with cross-functional teams to ensure successful tape-out.

Requirements:

• Bachelor’s Degree in Electrical Engineering or equivalents.
• At least 2 years of relevant working experience.
• Understanding the IC development flow in advanced CMOS processes, including design, layout, and tape-out.
• Understanding the fundamental theories of digital or analog circuit design.
• Capability to generate inventive designs and circuit solutions tailored to fulfill customer needs.

__________________________________________________________

HOW TO APPLY :

Interested candidates, please submit your resume by clicking on “Quick Apply” or contact [email protected] for more details.

Please provide following information in the resume for immediate processing

1) Reasons for leaving current and/or last employment

2) Last drawn and/or current salary

3) Expected salary

4) Date of availability and/or Notice Period

All applications will be treated in strictest confidence and only shortlisted candidates will be notified

Wee Wai Dan

EA License No : 03C5391

EA Reg No : R22109628

• Working location: Joo Koon.
• Working hours : Mon to Fri, 8.30am to 5.30pm

Responsibilities:

• Lead and direct cross-functional team in program execution
• Ensure proper qualification of new projects and successful implementation of programs in the production/manufacturing unit
• Track and monitor project progress to ensure project schedules and cost objectives are met
• Actively follow on sales leads and take lead in business development
• Serve as primary technical contact with customers on strategic or politically sensitive issues
• Generating quotation for molding projects involving new toolings
• Work with Manufacturing on developing and establishing workflows and production concepts (to optimize production efficiency &meet customers’ requirements)
• Identify and specify engineering requirements for new projects
• Initiate equipment procurement activities for new projects when needed (with Purchasing)
• Plan and execute tooling qualification activities with supporting groups to achieve successful project execution
• Take reasonable care of workplace health and safety; abide by all EHS policies and procedures; cooperate with Management and colleagues in EHS initiatives

Requirements:

• Degree in Mechanical Engineering
• Min. 3 to 6 years of relevant experience.
• Good knowledge of project management & production process
• IT Skills (MS Office)
• Independent, good initiative and able to multi-task in fast paced environment

To Apply, kindly click on the "APPLY NOW" button and job details. We regret that only shortlisted candidates will be notified.

Daniel Lim | Registration Number: R24124455 | AlwaysHired Pte Ltd

EA Licence No: 24C2293

Transport Pick Up: Jurong East, Boon Lay, CCK, Woodlands, Tampines, Sengkang, Bishan, Paya Lebar, Yishun
Location: Tuas
Contract Duration: 1year
Salary: Up to 6K

Job Description:

• Develop Manufacturing / Operating Instructions and necessary Standard Operating Procedures.
• Develop, maintain and troubleshoot the process control system recipe / models.
• Carry out technical assessment for evaluation of processes
• Investigate, report and troubleshoot findings on both quality and EHS related issues observed during manufacturing or during batch record review.
• Develop, implement and monitor robust preventive measures for processing issues.
• Play a pro-active role in ensure the site safety and quality standards are adhered to.
• Proactively monitor, identify, develop and implement improvements in processes and equipment.
• Communicate on a regular basis to the plant personnel on process updates.
• Train the process technicians and fellow process engineers on the process and procedures as required.

Requirements

• Min Degree in Engineering, preferably in Chemical Engineering or Degree in Science with Major in Chemistry
• Demonstrated ability to provide technical solutions for complex problems through equipment and process understanding
• Working knowledge of Regulations, and Good Manufacturing Practices
• Proactive, has experience with high performance teams, strong interpersonal and project management skills

If interested, please email your resume to [email protected]
➖
Alex Goh Hock Leong
(CEI.No: R1763413 l Recruit Express Pte Ltd (Healthcare & Life Science) | 99C4599)

Job Title: 6 Months Contract Robotic Software Engineer

We are hiring under Recruit Express headcount, and you will be deployed to:

Location: Jurong East

Pay: $6000 - $6500

Duration: 6 months contract

Working Hours: Normal Office Hours

Key Responsibilities:

DevOps:

• Develop and maintain CI/CD pipelines to automate the deployment of applications.
• Monitor system performance, troubleshoot issues, and ensure high availability and reliability of applications

ROS2 Integration:

• Develop and integrate software components using ROS2 for robotic systems.
• Work with robotic sensors, actuators, and control systems to enable seamless operation.
• Collaborate with robotics engineers to design and implement software architectures that meet project requirements.

Collaboration and Communication:

• Work closely with product managers, designers, and other engineers to gather requirements and deliver solutions.
• Participate in code reviews, design discussions, and team meetings to ensure code quality and knowledge sharing.
• Mentor junior engineers and provide technical guidance to the team.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Minimum 2 years of experience in software engineering with a focus on frontend development and DevOps practices.
• Proven experience with modern frontend frameworks such as React, Angular, or Vue.js.
• Strong knowledge of DevOps tools and practices, including CI/CD, and containerization (Docker, Kubernetes).
• Experience working with ROS2 and integrating robotic systems.
• Proficiency in HTML, CSS, JavaScript, and Typescript.Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong understanding of software development methodologies and best practices

Interested applicants, please Email

Fabian Ling Tuong Liing

Email Address: [email protected]

Outsourcing Team

Recruit Express Pte Ltd

EA Licence No: 99C4599

We regret that only shortlisted candidates will be contacted.

Responsibilities:

• Create mixed-signal verification and coverage strategies tailored to complex IC designs, aligning with design architecture and specifications.
• Construct verification testbenches using standard verification languages and methodologies, ensuring comprehensive coverage.
• Author and execute test cases to validate mixed-signal circuits, focusing on functionality, performance, and reliability.
• Analyze verification results meticulously, offering constructive feedback to design teams for improvements.
• Collaborate closely with design and layout teams to pinpoint and resolve any design issues encountered during verification.
• Innovate and refine verification methodologies, tools, and techniques to enhance scalability and portability.
• Provide final sign-off on mixed-signal designs, ensuring readiness for tape-out.

Requirements:

• Bachelor’s degree in electrical & electronic or equivalents and with minimum 7 years of working experience.
• Proficient in analog and mixed-signal circuit design and verification principles.
• Capability to formulate test plans, deliver presentations on findings, and communicate effectively with cross-functional teams.
• Familiarity with verification methodologies and tools including simulators, waveform viewers, automated execution, simulation time optimization, and coverage analysis.
• Proficient in programming abilities, capable of crafting efficient scripts or programs in languages such as Perl, Python, and/or C.

__________________________________________________

HOW TO APPLY :

Interested candidates, please submit your resume by clicking on “Quick Apply” or contact [email protected] for more details.

Please provide following information in the resume for immediate processing

1) Reasons for leaving current and/or last employment

2) Last drawn and/or current salary

3) Expected salary

4) Date of availability and/or Notice Period

All applications will be treated in strictest confidence and only shortlisted candidates will be notified

Wee Wai Dan

EA License No : 03C5391

EA Reg No : R22109628

Our client is a well-established MNC, market leader in the IT industry. Due to their current expansion plan, they are looking for an IT Maintenance Engineer to join their team, in hopes of developing the current high performing team. They are located in the West.

Responsibilities:

• Provide technical assistance to clients when required.
• Support operations on a 24/7 basis, with rotating shifts.
• Diagnose and resolve technical issues promptly.
• Communicate complex technical information in simple terms to clients.
• Understand and manage client requirements.
• Collaborate with the support team to escalate unresolved issues to the relevant product vendors.
• Maintain close communication with vendors to improve and support product solutions based on feedback and industry trends.
• Continuously enhance knowledge in IT security products and solutions.
• All other adhoc duties as assigned.

Requirements:

• Minimum Nitec/Diploma or other related field of studies.
• Minimum 1 years’ relevant experience.

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: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

Job Responsibilities:

• Support continuous improvement efforts in QMS.
• Support in root cause analysis and implementation of corrective/ preventive actions for process related concerns.
• Analyze and provide timely respond to customer complaints.
• Interface with Customer and Operations to ensure new product transfer to manufacturing are in accordance with approved requirements.
• Prepare Quality performance metrics and reports.

Requirements:

• Diploma in Mechanical Engineering, Quality, or equivalent.
• Minimum 2 years work experience in Quality Management System in manufacturing environment.
• Good knowledge of ISO 9001. Knowledge of API Q1 is preferred.
• Strong command of English language, both oral & writing.
• Knowledge of metal working industry is preferred.
• Knowledge of risk assessment principles and methods.
• Knowledge of SAP is preferred.
• Positive & proactive attitude.

Job Description:

• Manage projects and renovations for hospitals, medical centers, and related units.
• Track and support preventive maintenance, service contracts, and car park operations.
• Assist with assigned projects, ensuring they meet deadlines and budgets.
• Solve problems independently and work well with various departments.
• Oversee contractor and vendor schedules to minimize disruption.
• Coordinate with colleagues and contractors to maintain equipment and facilities.
• Perform other duties as assigned by supervisors.

Requirements:

• Degree in any of these field :
• Engineering (Mechanical, Electrical, or Civil)
• Facilities Management
• Project Management
• Construction Management
• or a related field
• No need experience , On Job Training Provided ( Pay Range : 3K - 3.4K* )

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

Project Engineer (Various Projects)

Responsibilities:

Support Project Manager on managing existing/ongoing smoothly, on-time and on budget.

Support Sales Engineer on customers' technical requirements.

To lead operations staff on site to ensure smooth and safe operation plan.

Liaise with external consultants and customers to make sure standards and safety are complied with.

Prepare technical drawings for technical operations.

Prepare daily/weekly site progress report.

Establish and maintain a good working relationship with the customers.

Any other adhoc job/work assigned by project manager.

Requirements:

Diploma/Degree in Engineering.

At least 3 to 5 years work experience in local company.

Required traveling to regional countries for meetings/site work.

Ability to read engineering drawings is a must.

Knowledge in AutoCAD is a must.

Knowledge in additional CAD software will be an advantage.

Knowledge in basic structural engineering will be an advantage.

Experience in Civil/Structural Construction, Power Generation, Marine/Offshore, Petrochemical, Heavy Lifting/Heavy Transport

Job Descriptions:

* Familiar with analytical systems such as O2, Ammonia, pH, TOC, TRC, Conductivity and etc Analyzer, and instruments (PIT, TIT, FIT, etc)

* Coordinate with internal team, vendors, and contractors to ensure smooth project execution.

* Supervise and lead Installation and Commissioning and initial calibration of various Analyzer, instruments, sensors, etc. Troubleshoot and resolve any technical issues that arise during installation and commissioning.

* Perform Electrical & Pressure Tests, Factory Acceptance Test (FAT), Site Acceptance Tests (SAT)

* Perform site commissioning for instrumentation & Control System, analytical systems and project-related jobs

* Carry out preventive maintenance and corrective maintenance of analytics systems services

* Ensure all documentation is accurate and up-to-date, technical documents, not limited to installation report, testing and commissioning report, etc

* Ensure all installations & commissioning meet customer specifications and industry standards.

* Ad-hoc engineering support to customer when required.

* Willing to work on fast pace environment.

Job Requirements:

* Degree in Engineering (Mechanical, Environmental, Science, Electronics/Electrical Engineering or equivalent qualification)

* Strong analytical & troubleshooting skills

* Preferably 3 - 5 years of working experience or more in the analytical instruments or related field.

* Knowledge of analyzers, instrumentation would be advantageous.

* Able to work independently and write effective good service report

* Good work experience with Hart communicator, calibration, and PLC/SCADA would be advantageous

* Good planning and time management skills to achieve job efficiency.

* Customer orientated with a positive attitude

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

* 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.

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

We regret that only shortlisted candidates will be notified.

Job Description

1. Perform hands-on Marine/ Electrical / Mechanical / Chemical / ervice & Maintenance and Repairs of Equipment / Instruments on outdoor field, canal, undergound, confine space, underwater, marine coastal

2. Involves working onboard vessel /work boat, canal, underground, river and field sites

3. Involve in integration of instrument / computer devices, programming, setup, configuration, testing and commissioning of remote access and control application.

4. Involve in instrument calibration, knowledge in chemical reagent

5. Planning maintenance schedule and product service report / analysis report / Maintenance Report

6. Involve in Ad-Hoc assignments as and when required

7. Willingness for Standby duties or work after office hour or during weekend and Public Holiday

Requirement:

1. Possess positive attitude to learn, has initiative and independent

2. Relevant educational qualifications in Marine/ Electrical / Mechanical / Structure Engineering (Degree/Diploma)

3. Willing to do field work (outdoor sites, onboard vessel /workboat, underground, canal, water coastal, etc.)

4. Team player

5. No prior experience may also be considered.

6. Confident in Marine Environment

7. Self-driven and motivated individual with critical thinking skill

Interested applicants, please email detail resume to [email protected]

Regret to inform only shortlisted candidates will be notified

Lab Officer/ Research Engineer

Job Description:

Be part of an exciting FAB Operations Team working on cutting-edge advanced packaging process technologies.
This position is based in Singapore.

Responsibilities:

• Operate multiple type of semiconductor equipment in cleanroom environment.
• Ability to use computer-based programs and applications to perform daily work/duties.
• Operate equipment based on the required process specifications (e.g. procedures, change notifications, etc.).
• Participate actively and be responsible in assigned on-the-job assignments and other required trainings when requested.
• Provide machine operations coverage and backup supports when necessary.
• Adequate understanding of the Equipment in-charge, monitor performance, timely communication with Engineers-in-charge to perform equipment errors recovery promptly when necessary.
• Demonstrate excellent teamwork to promptly execute process sequences and data collections if required.
• Always follow safety protocols & rules in the Clean Room.
• Ensure 6S in the work environment and promptly report hazards/ suspicious/ abnormal activities or personnel if any identified.
• Address potential areas for improvements such as wafers processing cycle time, Equipment utilization, Safety/ Compliances, and cost savings.

Experience:

• Diploma in MicroElectronics/Electrical/Mechanical/Chemical Engineering.
• Basic understanding on semiconductor process is preferred.
• 1-3 years of experience in semiconductor processes (Diffusion, Wet Clean, CMP, ECP, Litho, Etch, CVD, PVD, etc.) will be added advantages.
• Must be a self-starter, dependable and highly motivated

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.