Our client, one of world’s largest financial services institutions is looking for:

Associate Engineer (contract)

Responsibilities:

• Perform data extraction, cleaning, transformation, and flow; Web scraping may be also a part of the work scope in data extraction.
• Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks.
• Work in an Agile Environment that practices Continuous Integration and Delivery.
• Support and advise best practices in data management standards, policies and procedures.
• Work closely with fellow developers through pair programming and code review process.

Requirements:

• Interest in being the bridge between engineering and analytics; Knowledge about system design, data structure and algorithms
• Familiar with data modelling, data access, and data storage infrastructure like Data Mart, Data Lake, and Data Warehouse
• Proficient in general data cleaning and transformation (e.g. SQL, pandas, R, etc), and AWS
• Proficient with processing data from open-standard file format or data interchange format (e.g. XML, JSON)
• Good in building ETL pipeline (eg. Talend Data Integration, Informatica PowerCenter, IBM DataStage, SAS Data Integration)
• Good in database design and various databases (e.g. MS SQL Server, Oracle RDBMS, IBM DB2, Postgres etc)
• Comfortable in at least one scripting language (eg. Python)

-----------------------------------------------------------------------------------------------------

Interested applicants can also email CV at [email protected] (for faster processing, please state the exact job/position title applied “Associate Engineer”)

Only shortlisted candidates will be notified.

-----------------------------------------------------------------------------------------------------

EA License Number: 10C3636
EA Personnel Name: Jagveer Singh Arora
EA Personnel Registration Number: R22109615

The Data & Machine Learning Engineer plays a hybrid role that focuses on developing a modern Lakehouse platform, building data pipelines, and deploying machine learning models at scale. This position blends the responsibilities of a Data Engineer and Machine Learning Engineer to ensure robust data infrastructure and effective deployment of ML models. The ideal candidate will collaborate with cross-functional teams, working closely with Data Analysts, Business Analysts, and DevOps engineers to deliver reliable, scalable, and efficient data and ML solutions.

Key Responsibilities:

• Build, automate, and optimize ETL/ELT pipelines to ensure smooth data flow and availability across the Lakehouse platform.
• Partner with analysts to design scalable data storage solutions optimized for analytics and ML applications.
• Ensure data quality by implementing monitoring mechanisms to guarantee consistency, reliability, and compliance.
• Continuously monitor ML models, retrain and adjust them as necessary to maintain high performance.
• Design and implement CI/CD pipelines for seamless model deployment and ensure reliable delivery of models into production environments.
• Provide guidance and mentorship to junior engineers, supporting their growth and enhancing project delivery capabilities.

Skills & Experience:

• Strong teamwork skills, able to align data solutions with business needs, and communicate effectively across technical and non-technical teams.
• Expertise in analyzing data-driven insights and translating them into technical solutions.
• Proficient in designing and implementing data pipelines using Databricks and Spark.
• Advanced skills in SQL and Python for querying, modeling, and transforming data efficiently.
• Expertise in deploying machine learning models and creating APIs for serving predictions.
• Skilled in processing large-scale datasets and supporting machine learning workflows on Databricks.
• Experience in building CI/CD pipelines for automated deployment, testing, and validation of data pipelines and ML models using GitHub and GitHub Actions.
• Proven ability to monitor ML model performance, track key metrics, and maintain accuracy.
• Experience with automating cloud infrastructure using tools like Terraform for consistent deployment and scaling.
• Basic knowledge of Power BI for visualizing model performance and metrics.

Qualifications Required:

• 5+ Years in Data Engineering: Solid experience building and maintaining data infrastructure, including best practices in data pipeline development.
• 3+ Years in Machine Learning Engineering: Demonstrated experience managing the lifecycle of ML models from deployment to monitoring and retraining.
• Business & Data Transformation: Proven track record in supporting business transformation and process improvements by leveraging data-driven solutions.
• Agile Methodologies: Comfortable working in Agile environments with the ability to adapt and respond quickly in fast-paced settings.

To apply, simply click the "Apply" button or send your updated profile to [email protected]

EA Licence No.:18S9405 / EA Reg. No.:R1330864

Percept Solutions is expanding and actively seeking talented individuals. We encourage applicants to follow Percept Solutions on LinkedIn at https://www.linkedin.com/company/percept-solutions/to stay informed about new opportunities and events.

We are working with an emerging FinTech start-up looking for a backend engineer, ideally with 2-4 years of experience using Golang.

As a Software Engineer, you will be at the forefront of designing, developing, and maintaining robust financiaAs a Senior Software Engineer, you will be at the forefront of designing, developing, and maintaining robust financial software solutions. This role involves close collaboration withthe product team to ensure that system designs meet the operational needs and are implemented with high-quality standards. If you thrive in a dynamic environment and are passionate about building systems that make an impact, we encourage you to apply.

Responsibilities:

• Build and Maintain Financial Systems: Design, develop and maintain scalable and efficient financial systems that support the company's operations.
• Participate in Product Discussions: Engage with the product team to gather requirements, provide technical insights, and ensure that the proposed solutions are feasible and align with business goals.
• Technical Design and Implementation: Ensuring that all solutions are robust, scalable, and secure.
• Implement new features and functionalities with a focus on long-term maintenance and support.
• Testing and Quality Assurance: Work collaboratively with the QA team to develop testing strategies and frameworks to ensure the software meets all operational and performance requirements.
• Collaboration: Work closely with the product team and other stakeholders to translate business needs into technical specifications, ensuring a seamless integration of new features into existing systems.

Qualifications:

• Educational Background: Bachelor’s degree in Computer Science or related technical disciplines
• Programming Skills: Proficiency in Go (Golang) and experience with SQL databases, preferably MySQL.
• Analytical Thinking and Troubleshooting: Strong analytical skills and proven ability to troubleshoot and resolve complex issues effectively.
• Collaboration and Problem Solving: Demonstrates a positive approach to problem- solving, possesses a strong collaborative spirit, and upholds a high sense of responsibility.
• Knowledge of Accounting Systems: Familiarity with various accounting systems such as Xero and Microsoft Dynamics is highly beneficial.

The Opportunity

The Principal Data Engineer position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises over 60 IT, software, and data professionals primarily based in Shanghai and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team! As the Principal Data Engineer in our Singapore office, you will have the unique opportunity to help us build a data engineering team while being supported by our existing data engineering talent in Shanghai and Moerdijk. This role offers excellent career progression as you will take a leadership role in establishing and growing a local team in Singapore.

Job Responsibilities:

• Assist the Sr. Manager of Data Management & Operations in shaping both short- and long-term data strategy at a global level.
• Take ownership of our Azure ETL pipeline and data warehouse (ADF/DBT/Apache Airflow/AKS) from design to implementation to maintenance
• Assist in the maintenance of an existing on-prem data infrastructure (SSIS/SQL Server) while we complete our migration to the cloud
• Design, architect, and lead the implementation of ETL/ELT pipelines, data schemas/models, and data marts for business users.
• Ensure the reliability and availability of core data infrastructure with proper monitoring and alerting systems to guarantee continuous data delivery to the business.
• Take ownership of data quality and governance. Collaborate with business and IT teams to establish and meet data standards, including developing automated data checks and data quality monitoring dashboards.
• Promote a culture of organizational learning by facilitating knowledge sharing and implementing best practices in documentation.
• Stay updated with current industry best practices and trends, and evaluate technical decisions at a business level.
• Provide leadership, guidance, and oversight to data engineers.

Requirements:
• Bachelor's or Master's degree in Computer Science or a related engineering field from a technical university.
• 8+ years of experience in data engineering, with 3+ years of experience as a senior/lead data engineer
• 3+ year of experience with Agile/DevOps tools (Git, Jira).
• 2+ years of experience with Azure data infrastructure (e.g. ADF, DBT, AKS, IaC).
• Deeply knowledgeable of data warehousing best practices, especially in the Azure cloud environment, with a strong commitment to staying current with industry trends and future advancements.
• Thoroughly familiar with the relevant trade-offs within different data modelling schemas (e.g. 3NF, star, snowflake, data vault) and storage architectures (e.g. data warehouse, data lake, data lakehouse)
• Previous leadership experience as a senior engineer or project lead, with the ability to hire and lead a small team of 1-4 junior/senior data engineers.
• Highly motivated, with a proactive approach to project ownership and accountability for outcomes and timelines. Committed to continuous personal growth and development within the organization.
• Fluency in both written and spoken English and Mandarin is highly desirable to effectively liaise with Chinese-speaking clients and counterparts, understanding their technical requirements.

Desirable skills
• Proven experience with cloud infrastructure at a global scale, with knowledge of navigating global data regulations at a technical level.
• Experience with master data management using modern MDM tools, ideally at a global scale and/or in a cloud environment.
• Background in the shipping/maritime or chemicals industry.
• Previous managerial experience as a manager.
• Experience with PowerBI and Plotly.

About ST Engineering

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Line of Business

Our Training & Simulation Systems business has close to 40 years of experience in delivering innovative learning, training, and simulation solutions to customers in the defence, public safety and security, and enterprise domains. We envision to create a better future together through learning, training, and simulation.

Together, We Can Make A Significant Impact

The Instructor Operating Station (IOS) is the main interface in which Flight Instructors and Operators will use, to perform planning, controlling of the training environment, observation, and instruction delivery to pilot trainees within a simulator system. We are looking for someone to join us as a Simulation System Engineer, to co-build solutions together with our IOS team members. These solutions will contribute to our state-of-the-art Air Simulator project’s delivery to our end users.

Be Part of Our Success

• Working closely with other simulator subsystem teams, to ensure proper integration with the various simulator subsystem components (e.g. communication systems, networking, bots, etc).
• Generating engineering documentation within the team, to document the various requirements, design, and test areas to be developed.
• Overseas travel for training, meetings or deployment can be expected.

Qualities We Value

• At least 3-4 years of experience in related field.
• A willingness to learn a wide array of network and virtualisation technology and technology areas.
• While company-sponsored training courses and guidance will be provided, independent learning and being a team player is required, to fit into the team’s culture.
• Being comfortable to engage and communicate with end users, customers will be a plus.
• Strong knowledge of networking technology is a plus.

Our Commitment That Goes Beyond the Norm

• An environment where you will be working on cutting-edge technologies and architectures.
• Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated.
• Meaningful work and projects that make a difference in people’s lives.
• A fun, passionate and collaborative workplace.
• Competitive remuneration and comprehensive benefits.

Visit https://www.stengg.com/en/defence/training-and-simulation/modelling-simulation-training-systems/ for an illustration on what we do…

• Creates market and sales plans for particular regions
• Carries out product sales with prices that adhere to margin requirements.
• Builds and nurtures important connections with distributors, business partners, and clients.
• Provides important stakeholders with information on market and sales figures that are competitive, as well as current customer and distribution channel trends.
• Works closely with engineering, marketing, and operations to make sure goods are high-quality and fulfil client specifications.
• Visits the relevant territories on a regular basis to assist dealers and distributors in growing the market
• Sets market-specific goals for sales volume and financial projections.
• Provides distributors and dealers in every area with a clear direction and focus to meet their sales and profit targets.
• Gives distributors and dealers technical assistance and marketing support.
• Evaluates sales and market data to give senior management pertinent information for decision-making
• Helps customer service follow up with clients regarding payment concerns

Requirements:

• Degree or diploma in engineering and at least four to six years of experience in sales related to the production of electricity or a similar industry
• Expertise in the production of electricity
• Outstanding communication and interpersonal abilities
• Strong sense of self-motivation and pursuit of excellence
• Capable of working both individually and as a team
• Customer-centric, devoted, and creative

• Position: Desktop Support Engineer (Band 1)
• Working Location: Tuasx2 / Jurong / Changi (Client Site)
• Working Days : 5 Days ( Mon- Fri)
• Working Hours: 8am-5pm
• Salary Range: $2,700-$3,200

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Job Description

• Desktop Technician will provide day to day local\remote desktop support, receive inbound calls, answer questions, troubleshoot and document steps performed to resolve challenges with hardware, software and application issues in a ticketing system.
• Facilitate customer resolution for calls and engage their supervisors and managers to ensure operational consistency across all shifts within the IT Support Center.
• Desktop Support Engineer provides Break Fix, fault diagnosis and resolution.
• Providing fault analysis to customer’s various core operating systems and platforms, as well be able to provide support and apply desktop fault resolution for the approved application suite.

Position Responsibilities and Functions

• Provide first/second level contact and problem resolution for customer issues.
• Work with Third Party Vendors to remediate complex AV issues as needed.
• Provide timely communication on issue status and resolution.
• Maintain ticket updates for all reported incidents.
• Install, upgrade, support and troubleshoot XP, Windows 7, Windows 8.1, Windows 10 and Microsoft Office 2010, Cisco Jabber, another authorized desktop application.
• Should have basic knowledge of Mac operating system, to support Apple pc users.
• Install, upgrade, support and troubleshoot for printers, computer hardware.
• Performs general preventative maintenance tasks on computers, laptops, printers.
• Performs remedial repairs on Desktops, laptops, printers and any other authorized peripheral equipment.
• Use diagnostic tools to troubleshoot problems associated with network connectivity, and workstation hardware/software.
• Broad experience of IT with basic understanding of Networks, Servers, Audio/Visual, Smart Devices and Telecoms.
• This position requires the ability to work in a project-based environment requiring flexibility and teamwork. Performs other duties as assigned.

Qualifications and Skills

• Bachelor Degree or equivalent in Computer Science or related field.
• CompTIA A+, Microsoft Certified Professional (MCP) or better.
• 1-2 years’ experience in Windows Desktop support.
• Windows 7-10, Microsoft Active Directory, utilization of GPOs, MS Office 365, PC hardware installation and troubleshooting, Enterprise anti-virus solutions, Helpdesk ticketing systems.
• Mobile device management including IOS and Android devices, Enterprise encryption solutions, Windows PC/laptop management via Active Directory.
• Proven analytical, troubleshooting and problem solving skills.
• Willing to work off-hours and weekends when required for projects or emergency support.

In addition the Band 1 Technician will mentor and assist Band 0 technicians in their work and provide support to Band 2 Technicians in resolving tickets.

Benefits:

• Basic salary up to $2800
• Good career progression
• East Area
• Training provided

Job Scope:

• Perform troubleshooting and recovery on semiconductor manufacturing equipment to reduce downtime and ensure optimal performance.
• Assist in establishing recovery processes and procedures to enhance equipment operation efficiency.
• Conduct routine inspections and preventive maintenance on semiconductor tools and machinery, ensuring all equipment remains in top condition.
• Collaborate with engineering teams to analyse data and enhance recovery techniques.
• Document maintenance activities, recovery procedures, and equipment performance for quality assurance and compliance.

Job Requirements:

• Possess a bachelor’s degree in electrical/ mechanical engineering or related field will be a plus
• No prior experience required

To Apply, kindly click on the "APPLY NOW" button and job details.

We regret that only shortlisted candidates will be notified.

StaffKing Pte Ltd (20C0358) | Tan Pei Xuan (R24124430)

Venture, a public listed company in SGX, is a leading global provider of technology services, products and solutions with established capabilities spanning marketing research, design, research and development. Over the years, Venture has built know-how and intellectual property with expertise in several technology domains. These include life science & genomics, molecular diagnostics, medical devices and equipment, healthcare and wellness technology, lifestyle consumer technology, health improvement products, instrumentation, test and measurement technology, networking and communications, fintech, as well as computing, printing and imaging technology.

Headquartered in Singapore, the Group comprises over 30 companies with global clusters in Southeast Asia, Northeast Asia, America and Europe, and employs over 12,000 people globally.

At Venture, our people are our most valuable asset. We are committed to unifying culture, encouraging innovation, and harnessing the collective strengths and synergies of our human capital to deliver compelling differentiation, advancing Venture’s position as a leading global provider of technology solutions, products and services.

We’re looking to add an Engineer, R&D (Firmware) in Singapore. The position will be based in our HQ in Ang Mo Kio.

As an Engineer, R&D (Firmware), you will:

Responsible for design and development of MCU firmware for innovative products used in industrial and consumer markets, from invention to production.

The key responsibilities are as below:

• Design and develop firmware for innovative industrial and consumer products.
• Coding and debugging MCU based firmware including bootloader, device drivers and applications.
• Generate and maintain design and test documentation.
• Support development and verification of the software design as per the Software Life Cycle process.
• To assist Electrical and Mechanical teams in providing special Firmware for various Engineering Verification Testing activities.

What skills and experiences are we looking for?

• Candidate must possess at least a Degree in Computer/Electronics Engineering or equivalent
• At least 2 years of working experience in the related field. Fresh Graduates are welcome!
• Experience in firmware development tools and environment will be an added advantage.
• Familiar with C/C++ programming language.
• Knowledge of embedded RTOS.
• Possess good interpersonal and communication skills.
• Meticulous team player with good analytical and leadership skills.

If you embody the spirit of excellence, passion for discovery, innovation and enterprise, and the desire to make a difference in the world of technology and electronics, come join the Venture team!

Be Part of the Global Venture Family.

Disclaimer:

By submitting your application to Venture Corporation Limited and its group of companies, you acknowledge and agree that any personal data you provide will be processed for the purpose of evaluating your application for employment.

If you are not selected for this position, we may retain your personal data to consider you for future employment opportunities unless you inform us otherwise. Should you wish to withdraw your consent or request access to or correction of your personal data, please contact our Personal Data Protection officer by email: [email protected]

For more details, please refer to our privacy policy at Personal Data Protection Policy of Venture Corporation Limited.

To write an effective engineer job description, begin by listing detailed duties, responsibilities and expectations. We have included engineer job description templates that you can modify and use.

Sample responsibilities for this position include:

May be required to work weekends, holidays and shift work as scheduled by the Director of Engineering to ensure the proper operations of the Hotel and its properties

Analyze, debug and resolve customers’ map compilation and web API issues

Participate in all Scrum activities including Sprint Planning, Sprint Reviews, Retrospectives, and

Define test methods and create test plans to determine if the software will perform accurately and reliably according to documented requirements established standards under both normal and abnormal conditions

Provide tier 2 and 3 troubleshooting support of Exchange and Lync issues

Maintain and administer third party applications including, but not limited to, Blackberry Enterprise Server, BoxTone

Improve and control key / critical processes to ensure compliance to product and customer requirements

Improve and manage production cell quality system to reduce potential quality exposure & risk

Investigate quality issues and work with Engineering / Production to provide effective corrective/preventive action to eliminate recurrence

Reduce internal rework (together with Production & Engineering) to minimize impact to CONC, OTD and manufacturing cost

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
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

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

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

• Company: Industrial Machinery Manufacturer (Japanese MNC)
• Location: Tuas West Road (Nearest MRT Station)
• Position: Assist Service Engineer/ Service Engineer (Die Cast Machine) (Job ID: 19229)
• Training provided for entry level candidate

Job Overview:

The Singapore subsidiary serve as the key regional hub for sales, technical support, and after-sales services across Southeast Asia.

Job Description:

• To perform troubleshooting, testing, commission of die cast machine.
• To perform planning, repair works, maintenance, and complete overhauling on-site/workshop
• Travel overseas (Phillippines, Malaysia & Batam) when required for machine related troubleshooting
• Experienced in PLC is an added advantage

Job Requirements:

• Nitec/ Higher Nitec/ Diploma in Electrical/Mechanical Engineering
• Willing to travel overseas when required (1 to 3 times per month)
• Self-motivated, able to work independently
• Class 3 driving license

Interested applicants please apply directly for further shortlisting review.

We regret that only shortlisted candidates will be notified. Other applications will be updated to our database for future job opportunities.

By submitting any resumes or applications to Pasona Singapore Pte Ltd, you are considered to have read and agreed on the terms of our Privacy Policy, and consented to us collecting, using, retaining, disclosing your personal information to the prospective employers for their consideration.

Effective from 1 October 2020 under the new Employment Agencies (EAs) Licence Conditions,

EAs will be required to collect the personal data (e.g. NRIC number number for overseas candidates) of applicants referred to employers for permanent or contract job positions of at least six months with a fixed monthly salary of S$3,300 and above.

PDPA requirements on collection, use, and disclosure of personal data would not be applicable to EAs that are collecting such information as it is a regulatory requirement by Ministry of Manpower.

Please find Privacy Policy Agreement from the below link.

http://www.pasona.com.sg/privacy.html

Jeffrey Koh Kok Ann

EA Registration No: R1770345

Pasona Singapore Pte Ltd

1 FINLAYSON GREEN ＃09-02 SINGAPORE 049246

EA License No:90C4069

IT Operations Support Engineer

The IT Operations & Support Engineer will provide L1 operations and technical support for PMO-PSB systems, manage service delivery, and support programme delivery initiatives. This role includes responding to user requests, managing system operations, and coordinating with stakeholders for smooth and secure IT operations.

Responsibilities:

Operations & Support:

• Provide IT support for PMO program, with rostered standby duty after hours
• Respond to user support requests, operational alerts, and incidents both remotely and onsite.
• Support system testing and verification post-patch or maintenance with Ops and vendors.
• Manage monitoring dashboards, alerts, change requests, and service management cases.
• Maintain the Operations & Maintenance playbook and submit reports and updates.

Service Delivery Management:

• Oversee patch management, backups, disaster recovery, and asset management with Ops and vendors.
• Manage IT asset lifecycle (renewal, disposal) and ensure secure processes.
• Maintain service availability, adhere to SLAs, and contribute to system support improvements.

Programme Delivery:

• Assist in technical analysis, planning, coordination, and implementation of systems for programmes.
• Maintain documentation and support cyber security, compliance, and change management.
• Administer technical systems, and cloud infrastructure, and monitor for programme delivery.
• Collaborate on continuous improvements for operational efficiency.

Requirements:

• Diploma or bachelor’s degree in Computer Science, Information Technology, or related fields.
• Minimum 2 years in IT operations or service delivery, with exposure to the software development lifecycle.
• Experience in service delivery management and maintaining SLAs/OLAs.
• Knowledge in one or more areas: coding (C#, Java), DevOps, cloud computing, cybersecurity, server administration, infrastructure, and service delivery is preferred
• Familiarity with project management and ITIL certification is highly advantageous
• Strong analytical, communication, and interpersonal skills.
• A positive attitude toward continuous learning and keeping current with new technologies.