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

Essential Functions (Responsibilities):

- Develop and grow key accounts in the Oil & Gas sector, Pharmaceutical and other industrial sectors contribute company growth objectives in Singapore.

- Provide technical sales support and consultation to clients for the sale of electrical products in order to develop business opportunities and penetrate clients.

- Perform all aspects of selling to maintain and develop new or existing customers including: take-offs, project quotations, closing orders, preparation of submittals and resolving customer problems.

- Meet or exceed budgeted sales and gross margin targets with assigned accounts.

- Focus on identifying specific technical requirements of customers while simultaneously collecting commercial and competitive information associated with each account

- Cultivate effective long-term relationships at all levels of the customer organization.

- Attain expert knowledge of products, electrical goods market and competition.

Qualifications/Requirements:

- Formal Electrical Engineering qualification (Diploma/Certification)

- Strong technical and commercial background.

- Minimum 1 to 2 years of proven sales experience to industrial customers

- Electrical product knowledge

- Very strong consultative selling, interpersonal, and negotiation skills

- Resourceful and results-oriented.

-Highly motivated, self-confident, self-starting work ethic with good networking abilities

- Team player who works well in global teams

- Good command of spoken/written English

- Have own car

** Package up to 55K a year **

Qualifications:

• Bachelor's degree in Civil Engineering.
• Minimum of 1 year of experience in the renovation industry.

Job Description: We seek a dedicated Junior Engineer with a solid background in renovation projects. The successful candidate will be key in managing and executing renovation projects, ensuring that all aspects are delivered to the highest standards. Key responsibilities will include:

• Managing and coordinating renovation projects involving electrical, plumbing, tiling, ceiling work, and other related tasks.
• Collaborating with architects and interior designers to develop and refine renovation plans.
• Supervising on-site activities to ensure that all work adheres to the project plan, safety standards, and regulatory requirements.
• Preparing and managing project schedules, ensuring that timelines are met without compromising quality.
• Conducting site inspections to monitor progress and address any issues promptly.
• Ensuring that all materials and workmanship meet the specified quality standards.
• Liaising with clients, subcontractors, and suppliers to ensure smooth project execution and effective communication.
• Preparing reports and documentation for project handovers, ensuring all aspects of the project are completed to client satisfaction.
• Staying updated with the latest trends, techniques, and materials in the renovation industry to bring innovative solutions to projects.

Requirements:

• Proficiency in design software and tools (e.g., AutoCAD, SketchUp).
• Strong understanding of renovation processes, building codes, and industry standards.
• Hands-on experience in managing multiple renovation projects simultaneously.
• Excellent organizational, communication, and problem-solving skills.
• Ability to work both independently and collaboratively in a fast-paced environment.

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

Our client is from Oil and Gas industry. They are looking for a Senior Mechanical Engineer for the next phase of their business. They are located in West.

Duties:

• Responsible in guiding the maintenance, troubleshooting, repair, commissioning and substitute of mechanical or piping equipment within the Gas Engine Generators as well as its additional systems such as gas engine, pipeline, pressure pipe, ACMVs, lube oil and coolant pumps arrangement.
• Responsible in supporting mechanical support and solutions for the process & care and providing the development of care strategy including procedure/specification focusing on equipment dependability, spares inventory necessity, shutdown and inspection lists, preventive and prophetic care programmed.
• Responsible in managing and work meticulously with internal contractor and equipment seller to perform maintenance work at the Gas Engine Generators Building and terminal.
• Responsible to make certain compliance to appropriate regulations, manipulate safely, fit for object, maintainable and trustworthy for the site’s modified or anew build mechanical setup (such as gas engine, pumps, gravity vessel, safety facilities, etc).
• Responsible in guiding technical negotiations, execute and succeed project schedules or cost as well as collaboration with outward and internal shareholders, merchants for end of life and development project using company Management of Change process for machinery facilities.
• Responsible in supplying technical practicing as required in the area of process, maintenance, fault resolution of the Gas Engine Generators.
• Responsible in contacting with exterior investor including administration agencies on approbation and risk of closure of electrical arrangement that will influence gas-send out.

Requirements

• Min Bachelor’s Degree in Mechanical Engineering or any relevant field.
• Min 3 to 5 years’ experience in relevant industry for maintenance of rotary and staticequipment is needed
• Prior experience in different types of gas/diesel machine knowledges is a bonus.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: [email protected]

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R2198636 (Oh Puey Xin)

• Well Established Company
• Basic $3000 - $4000 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Tuas (Transport Provided)
• Working day: Monday to Friday
• Working house: 8am to 5pm

Job Responsibilities:

• To ensure all the maintenance works carried out systematically, efficiently & safely
• By improving existing preventive maintenance system thus reduce maintenance cost and improve performance of equipment
• To be the initiator and coordinator of MOC for any addition, modification and replacement in the system
• To assist the Section Manager and Supervisor to co-ordinate and supervise the day-to-day activities
• To troubleshoot Mechanical Equipment / Systems’ problems when it runs abnormally malfunction
• To work closely with the operation team for daily, weekly and monthly maintenance programmed to maintain all equipment running efficiently, safely and smoothly
• To train all technician and staffs on equipment maintenance and monitor the 5S and TPM activities carried out in the section
• To assist the Section Manager to propose and implement action plans to rectify faults occurring in the system/processes
• To be involved in new project management time to time and be responsible for document preparation and other paper works, as well as co-ordination with contractors & Vendors
• To manage all Mechanical & electrical Instruments spare parts and tools

Requirements:

• Bachelor’s Degree in Mechanical Engineering
• Min 2 years of relevant experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

THIEN CHING MEI (R2198032)

EA Recruitment Pte Ltd

EA License No: 21C0492

Our client is from Oil and Gas industry. They are looking for a Lead / Principal Engineer (Mechanical) Oil & Gas for the next phase of their business. They are located in West.

Duties:

• Lead Mechanical and HVAC disciplines for CAPEX projects, overseeing FEED consultants, EPC contractors, and vendors.
• Develop and issue design bases, datasheets, project specifications, and scopes of work for feasibility studies, FEED, and EPC projects.
• Review and evaluate proposals from consultants, contractors, and vendors.
• Validate and approve Mechanical and HVAC deliverables in CAPEX projects.
• Support regulatory approval processes and coordinate with consultants and contractors.
• Collaborate with project management, engineering disciplines, and operations teams.
• Witness factory acceptance tests (FAT) and ensure accurate engineering databases.

Requirements

• Min Bachelor’s Degree in Mechanical Engineering or any relevant field.
• Min 12 - 20 years’ experience in Oil & Gas industry, with exposure in LNG industry.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: [email protected]

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R2198636 (Oh Puey Xin)

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 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

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

• 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.