Total 5,717 system engineer job vacancies in Engineering category in Hong Kong

Job Responsibilities

• Responsible for Technical Support of operations and Industrial Engineering

• Support analysis and handling of daily process issues in the production line related to yield, quality and consistency of final product

• Participate in system engineering during the product design process (DFM) Plan, build and start up new production lines (NPI)

• Plan and purchase equipment with a variety of functions/processing stages, participation in the design of new machines and systems

• Responsible for product life cycle management in production, implementation of product and process changes

• Develop manufacturing methods and design enhancements to sustain and improve efficiencies, reliability of process and products

• Create and maintain production documentation (work instructions, routings, maintenance checklist) for operation team to produce consistent, repeatable products

• Second level machine troubleshooting

• Managing of investment costs and production expenses

• Support on-the-job-training for production staff and perform training evaluation

• Represent as proxy for production quality compliance and acceptance

• Actively initiate/participate in workplace safety, 5S and environmentally friendly activities and continuous improvement process

Job Requirements

• Bachelor Degree in Industrial /Mechanical /Mechatronics/Electrical Engineering

• Minimum 2 years' experience, preferably in Electronics Manufacturing

• Exposure to lean concepts and tools (Kaizen, 5S and TPM) and industry 4.0

• Good organizational, interpersonal and communication skills. required

• Good degree of technical competence and creativity and high level of discipline and integrity

Job Summary

Monitor project progress and coordinate with teams to resolve engineering issues, ensuring timely document submission and successful project completion.

Responsibilities

• Monitor daily project activities and prepare weekly status reports to track progress and outcomes
• Ensure timely submission of all project documents for client review and approval to maintain compliance
• Coordinate with project personnel, procurement, and operations teams to maintain workflow and meet deadlines
• Provide comprehensive support to management to facilitate project success and informed decision-making
• Evaluate, organize, and prioritize workload to adhere to project schedules and optimize resource allocation
• Identify and resolve engineering issues on-site by collaborating with relevant departments to implement effective solutions
• Prepare and report documentation for additional work requirements to support project scope adjustments

Preferred competencies and qualifications

• Degree in Engineering or equivalent
• Proficiency in AutoCAD software to create and manage project design documentation
• Apply strong technical knowledge to support engineering problem-solving and project execution
• Manage multiple tasks effectively under pressure to meet project deadlines

Role Overview

Work within a team environment to ensure daily availability of wintel servers with significant business or IT impact, handling all Windows Server OS installations, administrations, incidents, Root Cause. 

Responsibilities

• Implementation of Windows based infrastructure based on business requirements.
• Ongoing maintenance, security, and availability of Windows based infrastructure based on business requirements.
• Troubleshoot and resolve Windows OS related incidents and problems according to customer processes.
• Perform Root Cause Analysis (RCA) for OS related service problems as part of problem management.
• Liaise with support vendors for maintenance, support or issues resolution.
• Support Windows Server based systems, system software, clustering software and system management agents.
• Assist in analysing historical usage for tracking and trending by CPU, memory, I/O and storage.
• Implement capacity improvement plan.
• Assist in developing and maintaining the Technical Disaster Recovery Plan. Provide technical support during disaster.
• Execute Technical Disaster Recovery plan during DR and DR drill.
• Setting up and managing Windows Active Directory experience inclusive of managing GPOs and user profiles.
• Setting up and managing Windows Clustering, VMWare hosts (inclusive of VCenters) and virtual machines including all OS platforms (Linux and windows).
• Working knowledge in VMware vSphere 4.x and above.
• Setting up and managing Hyper-V and virtual machines & Netbackup and/or BackupExec, including defining backup policies based on industry standards.
• Setting up and managing enterprise-wide Symantec Endpoint Protection Manager, including defining policies based on industry standards.
• Review event logs on a regular basis based on business requirements.
• Manage the server OS patching procedure and security hardening

Interested candidates, please send your CVs on nabilah.azman@tg-hr.com

Regret to inform that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

Observability Engineering:

•Architect, deploy, and optimize Splunk ITSI dashboards, KPIs, glass tables, and service maps.

•Continuously enhance visibility into the health and performance of applications and infrastructure.

Proactive Monitoring & Investigation:

•Leverage observability data to investigate system issues and anomalies in real-time.

•Identify root causes using advanced event correlation, log analysis, and telemetry patterns.

Predictive Analytics & ML Integration:

•Apply machine learning models to detect anomalies, forecast system behavior, and prevent outages.

•Collaborate with data teams to operationalize predictive analytics for IT incident management.

Service Mapping with ServiceNow:

•Maintain and automate the synchronization of Configuration Items (CIs) from ServiceNow to Splunk.

•Ensure accurate service correlation and dependency mapping across platforms.

As a (job role), you will need to have:

•Degree in Computer Science, Engineering, Information Systems, or equivalent.

•Hands-on experience with Splunk ITSI or similar observability platforms.

•Strong knowledge of ServiceNow, including CMDB and CI relationships.

•Familiarity with machine learning for anomaly detection and predictive analytics.

•Proficient in scripting (Python, linux) for automation.

•Understanding of ITIL and modern IT operations practices.

•Analytical mindset with strong troubleshooting and investigation skills using observability data.

Main Responsibilities: 

• Support commissioning, qualification, start-up, and operational readiness activities for pharmaceutical/biotechnology manufacturing facilities and process systems.

• Execute commissioning and qualification protocols for process equipment, utilities, and automation systems in compliance with GMP requirements.

• Monitor and optimize process control systems, including temperature control, pressure control, flow control, and TCU

• Support and troubleshoot DeltaV control system operations during commissioning, start-up, and manufacturing campaigns.

• Perform system testing, loop checks, functional testing, and operational verification activities.

• Support CIP (Clean-in-Place) and SIP (Steam-in-Place) operations, troubleshooting, and performance verification.

• Work closely with engineering, automation, validation, operations, and project teams to ensure successful project execution.

• Identify, investigate, and resolve commissioning and operational issues to minimize downtime and ensure project milestones are achieved.

About You:

• Degree/ Diploma in Chemical Engineering, Biotechnology, Pharmaceutical

• Engineering, Mechanical Engineering, Electrical Engineering, or related disciplines.

• Experience in pharmaceutical, biotechnology, biologics, or life sciences manufacturing environments.

• Must have ex-biotech experience or project engineers with commissioning experience.

• Able to work on 12 hours rotating shifts, morning shift/ night shift, 24/7 operations.

Contract Duration: 6 months

Embedded Software/ Firmware Engineer

What a Software Firmware Engineer does at HP:

• Design enhancement, update, and programming changes for portions and subsystems of firmware.
• Analyze design and determine coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution.
• Write and execute complete testing plans, protocols, and documentation for assigned portion of application; identifies, debugs and creates solutions for issues with code and integration into application architecture.
• Lead a project team of other firmware engineers and internal and outsourced development partners to develop reliable, cost effective and high quality solutions for assigned systems portion or subsystem.
• Collaborate and communicate with management, internal, and outsourced development partners regarding firmware design status, project progress, and issue resolution.
• Represent the firmware engineering team for all phases of larger and more- complex development projects.
• Provide guidance and mentoring to less- experienced staff members.

Individuals who do well in this role at HP, usually possess:

• Bachelor's or Master's degree in Computer Science, Information Systems, Electrical Engineering, or equivalent.
• Typically 6-9 years experience.
• Expertise in multiple firmware design tools and languages.
• Designing firmware, including interaction and integration with hardware design.
• Firmware testing methodology, including writing and execution of test plans, debugging, and testing scripts and tools.
• Ability to effectively communicate product architectures, design proposals and negotiate options at management levels.

Sustainable impact is HP’s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision – to create technology that makes life better for everyone, everywhere.

HP is a Human Capital Partner – we commit to human capital development and adopting progressive workplace practices in Singapore.

Disclaimer

This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Job Responsibilities

• Lead the Extra-Low Voltage systems design on assigned large scale projects during the tender, design, procurement, construction, commissioning until finale client acceptance phase
• Design of control systems, instrumentation, cabling and cable support systems for Process equipment, Industrial Facilities and Commercial Buildings, with the support of Lead Engineer, if necessary
• Design of Life Safety System comprising of Public Address Systems, Access control, Closed Circuit, Gas Detection and Fire Alarm systems with the support of a Lead Engineer if necessary
• Design of Information Technology cabling System with the support of a Lead Engineer if necessary
• Develop P&IDs, Instruments and IO list, Sequence of Operations, Logic Diagrams, Cause and effect matrices with the support of Lead Engineer if necessary
• Develop / Execute / Expedite ELV packages during design, procurement, construction phase of a project and taking responsibility for the assigned packages
• Co-ordination and scheduling activities for the ELV supervisors on a project to ensure timely delivery at project milestone dates
• Interfacing with other trades during design phase and incorporate their requirements into the ELV systems design
• Technical Evaluation of vendor submission including approval of shop drawings
• Preparing the procedure for testing and commissioning of individual system and manage subcontractor during commissioning of the Extra Low Voltage systems
• Guiding ELV engineers / Designer / Draftsman for preparing cable routing plan, hookup drawings, wiring drawings, cable schedule, Junction Box schedule, Instrument Air manifold schedule, Block diagrams, P&IDs, Control System Schematic

Job Requirements

• Degree in Instrumentation and Controls Engineering 
• At least 8 years of experience in design and construction
• Experience in design, installation, programming, commissioning of Process and Building control systems
• Experience in design, selection, installation, commissioning of Instrumentation for Process and Building control systems   
• Experience in Extra Low Voltage Systems such as Fire Alarm, Security systems, IT data network
• Experience in Advanced Technology Facilities, Life Science & Chemicals, Energy & Environment Technologies, High Tech Infrastructure, Process Automation, Products and Services
• Experience in construction management

Are you an AI/ML Engineer who loves to build and implement innovative solutions that create value at scale? If so, you might be the perfect fit for our Senior AI/ML engineer role at Carlyle.

In this role, you will work with data scientists, engineers, and stakeholders to design, deploy, and operationalize state-of-the-art AI/ML systems that solve complex business problems. You will also drive the innovation of MLOps platforms and processes for the full machine learning lifecycle - from model experimentation, to CI/CD pipelines, to model monitoring and retraining in production environments. You will leverage cloud AI/ML platforms, containerization, automation tools and processes to streamline AI/ML workflows.

Additionally, you will optimize AI/ML solutions for performance, scalability and cost. You will serve models via microservices, APIs and batch scoring pipelines integrated with data products and business applications.

You should have strong expertise in AI/ML platform engineering, modern data platforms, model deployment pipelines, relevant cloud platforms and programming languages like Python. You should also have excellent problem-solving abilities, attention to detail and communication skills.

If you are passionate about pushing the boundaries of artificial intelligence and making an impact by delivering innovative ML solutions, this is the role for you. Join us and help shape the future of AI-driven products and services at Carlyle.

Primary Responsibilities:

• Collaborate with stakeholders and data scientists to translate business problems and requirements into ML solutions
• Engineer end-to-end AI/ML systems from prototyping to production deployment
• Design and implement AI/ML pipelines for data ingestion, transformation, model training, evaluation, and inference
• Choose and apply suitable ML algorithms and frameworks such as TensorFlow, PyTorch, Keras for model development
• Optimize model performance, accuracy and fairness using techniques like hyperparameter tuning, error analysis, and model governance
• Deploy and serve models using REST APIs, serverless functions, or microservices
• Monitor and maintain AI/ML solutions using AI/MLOps best practices and tools
• Enhance model scalability, performance and cost efficiency using cloud AI/ML platforms, containerization, and automation
• Build AI/MLOps discipline and practice

Requirements:

Education &Certificates

• Bachelor’s degree, required
• Concentration in Computer Science, Information Technology, or related field, preferred
• Industry Cloud and AI/ML Engineering level certifications desired

Professional Experience

• Minimum of 6 years of overall relevant technical experience, required
• 5+ years of direct experience in AI/ML engineering projects, preferred
• Experience with LLM refinement and vector database embeddings
• Experience with training, evaluating and deploying deep learning models

Competencies & Attributes

• Proficiency with common ML and data platforms such as AzureML, Amazon SageMaker, Databricks, and Snowflake
• Knowledge of AI/ML pipelines, AI/MLOps concepts and tools
• Ability to build production-grade AI/ML solutions with scalability in mind
• Experience with MLOps tools and techniques to optimize ML lifecycle management
• Experience with ML metadata and artifact tracking platforms such as MLflow
• Experience containerizing and deploying models and solutions to cloud platforms like Azure or AWS
• Understanding of model governance concepts such model risk analysis, QA, compliance
• Experience with building ML technical architecture diagrams encompassing data, model building, operations
• Experience with operating end-to-end ML platforms supporting analytics and ML teams
• Experience with assessing model technical debt, maintaining pipelines, keeping systems up-to-date
• Experience with Python for analytics and ML applications
• Proficiency with common Python data analysis libraries like NumPy, Pandas, SciPy
• Experience with common Python ML libraries like Scikit-Learn, TensorFlow, PyTorch
• Experience with Jupyter Notebooks for ML experimentation and prototyping
• Ability to transition ML prototypes to production solutions
• Experience with Terraform for IaC of ML infrastructure on Azure, AWS cloud platforms.
• Strong problem solving, analytical and communication skills

Role Summary
Responsible for end-to-end management of sheet metal fabrication projects, ensuring successful execution from design review and material planning to production, quality control, and on-time delivery. Acts as the key liaison between engineering, production, suppliers, and customers.

Key Responsibilities

• Manage multiple fabrication projects, ensuring delivery within scope, schedule, and budget.
• Review customer drawings, specifications, and BOMs for manufacturability.
• Coordinate with engineering, procurement, production, and logistics teams to ensure smooth project execution.
• Prepare and monitor project schedules, work orders, and production plans.
• Support CAD/CAM teams in developing fabrication drawings and nesting layouts.
• Apply DFM principles for sheet metal processes including cutting, bending, welding, punching, and forming.
• Monitor shop-floor activities, machine scheduling, and production progress.
• Resolve technical and production issues, minimizing delays and material wastage.
• Liaise with customers and vendors on technical requirements, project updates, and outsourced processes.
• Prepare project status reports and ensure quality and delivery targets are met.

Requirements

• Degree in Mechanical, Production, or Manufacturing Engineering.
• 3–6 years of experience in sheet metal fabrication, heavy engineering, or related industries.
• Strong knowledge of sheet metal manufacturing processes, materials, and fabrication methods.
• Proficient in interpreting engineering drawings, GD&T, and BOMs.
• Experience with SolidWorks, AutoCAD, ERP/MRP systems, and Microsoft Excel.
• Familiarity with CAD/CAM, nesting software, and Trumpf machines is an advantage.
• Strong project management, problem-solving, communication, and coordination skills.

Preferred Industries: Sheet Metal Fabrication, Enclosures, Automotive, Industrial Equipment.

About Company

Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain platform.

XG Tech focuses on the intelligent cockpit—the next frontier of differentiation—while seamlessly integrating advanced driving systems. By reimagining cars as mobile living spaces, XG Tech aligns with the evolving trend of vehicles becoming the “third living space.”

Role Summary

As a Senior Agent Researcher, you will design and build evaluation-driven Agent and multi-agent systems for complex real-world applications. You will focus not just on making Agents work, but on understanding, measuring, and continuously improving their behavior, combining research depth with strong engineering execution in an AI-native development environment.

Key Responsibilities

• Build and evolve evaluation-driven Agent systems, using evaluation as the core mechanism for behavior improvement and iteration
• Design Agent architectures that are observable, maintainable, and optimizable under real-world constraints
• Develop scalable evaluation infrastructure, including automated testing, benchmarking, and experimentation frameworks
• Optimize Agent performance across architecture, model selection, context management, memory, and tool usage, balancing performance and cost
• Rapidly prototype Agent systems and demos, integrating research insights with engineering and product validation
• Continuously explore and apply advancements in LLMs, multimodal models, multi-agent systems, and context engineering

How You Will Stand Out

• Proven experience designing, building, or deploying Agent systems, LLM-based applications, or complex AI systems in production environments
• Strong understanding of AI/ML fundamentals and system design, including models, inference, training, context, and evaluation
• Hands-on experience with Agent evaluation frameworks, automated experimentation, or A/B testing
• Ability to translate cutting-edge research (LLMs, MLLMs, multi-agent systems) into practical, production-ready solutions
• Strong systems thinking with a research-oriented mindset and solid engineering execution
• Publications, open-source contributions, or experience in automotive, chip, or intelligent cockpit systems are advantageous

XG Tech is committed to providing equal employment opportunities by country, state, and local laws. XG Tech does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

Responsibilities:

• Perform engineering duties such as design, engineering calculations, planning, tender preparation/evaluations as part of the engineering project team
• QA/QC documentation of engineering deliverables
• Liaison with clients, project managers, architects, contractors
• Assist in resolving any technical problems faced during project design and/or construction stages
• Any other required duties as required by the Project Team.

Requirements

• Degree in Mechanical Engineering.

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format or please click on “Apply Now”.

We regret only shortlisted candidates will be notified.

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Please read our privacy statement on our corporate website.

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EA License No: 19C9950

EA Personnel: Tan Sin Yong (Stella)

EA Personnel Reg No: R24124127

Key Responsibilities:

• Technical Ownership: Lead the end-to-end delivery of complex features, ensuring that technical designs are robust, scalable, and aligned with long-term goals.
• Engineering Excellence: Drive the adoption of high-quality engineering standards, ensuring that software systems are maintainable, secure, and reusable.
• Design & Implementation: Take an active role in architectural discussions and squad-level technical decisions, advocating for best practices in modern software development.
• Strategic Influence: Help shape the technical direction of digital initiatives to maximize their impact on the public good.
• Culture Building: Establish and refine engineering practices and tools that foster a strong, effective, and collaborative engineering culture.
• Stakeholder & Dependency Management: Independently navigate work-related dependencies and communicate technical concepts effectively to both senior leads and legal domain experts.
• Roadmapping: Collaborate with leadership to define and update technical plans and infrastructure roadmaps to meet future organizational needs.

What We Are Looking For:

Technical Requirements

• Professional Experience: * At least 7 years of professional experience in software engineering.
• Proven track record of building and maintaining large-scale, high-availability software systems.
• (Good to have) Experience in public sector, legal, or highly regulated environments is advantageous.
• Full-Stack Expertise: Deep experience in modern full-stack web application architecture and development.
• Tech Stack: Proficiency in JavaScript Typescript frontend development and TypeScript/Python for AI related back-end development.
• GenAI Development: Hands-on experience in Generative AI (GenAI) development, including working with Large Language Models (LLMs), RAG patterns, and building AI-driven features.

Infrastructure & Cloud:

• Strong hands-on experience working with Amazon Web Services (AWS) infrastructure.
• Proficiency in Infrastructure as Code (IaC) using Terraform.

DevOps:

• Experience designing and maintaining CI/CD pipelines exclusively using GitLab CI within the SHIP-HATS ecosystem.

Leadership & Soft Skills

• Strong Communication: Able to hold your own in conversations with legal professionals, product owners, vendors, and senior leadership. You can present complex findings clearly to non-technical audiences.
• Technical Maturity: A strong sense of ownership and the ability to navigate a professional, high-stakes organizational environment.
• Comfort with Ambiguity: You create structure where none exists and drive progress without waiting for perfect conditions or complete information.
• Mentorship: A collaborative mindset with a passion for coaching junior members and sharing knowledge with the wider team.
• Mission-Driven: A genuine commitment to the public good and an interest in the legal and justice sector.
• Craftsmanship: An uncompromising focus on engineering excellence, performance, and clean, well-documented code.

Key Responsibilities:

• Technical Ownership: Lead the end-to-end delivery of complex features, ensuring that technical designs are robust, scalable, and aligned with long-term goals.
• Engineering Excellence: Drive the adoption of high-quality engineering standards, ensuring that software systems are maintainable, secure, and reusable.
• Design & Implementation: Take an active role in architectural discussions and squad-level technical decisions, advocating for best practices in modern software development.
• Strategic Influence: Help shape the technical direction of digital initiatives to maximize their impact on the public good.
• Culture Building: Establish and refine engineering practices and tools that foster a strong, effective, and collaborative engineering culture.
• Stakeholder & Dependency Management: Independently navigate work-related dependencies and communicate technical concepts effectively to both senior leads and legal domain experts.
• Roadmapping: Collaborate with leadership to define and update technical plans and infrastructure roadmaps to meet future organizational needs.

What We Are Looking For:

Technical Requirements

• Professional Experience: * At least 7 years of professional experience in software engineering.
• Proven track record of building and maintaining large-scale, high-availability software systems.
• (Good to have) Experience in public sector, legal, or highly regulated environments is advantageous.
• Full-Stack Expertise: Deep experience in modern full-stack web application architecture and development.
• Tech Stack: Proficiency in JavaScript Typescript frontend development and TypeScript/Python for AI related back-end development.
• GenAI Development: Hands-on experience in Generative AI (GenAI) development, including working with Large Language Models (LLMs), RAG patterns, and building AI-driven features.

Infrastructure & Cloud:

• Strong hands-on experience working with Amazon Web Services (AWS) infrastructure.
• Proficiency in Infrastructure as Code (IaC) using Terraform.

DevOps:

• Experience designing and maintaining CI/CD pipelines exclusively using GitLab CI within the SHIP-HATS ecosystem.

Leadership & Soft Skills

• Strong Communication: Able to hold your own in conversations with legal professionals, product owners, vendors, and senior leadership. You can present complex findings clearly to non-technical audiences.
• Technical Maturity: A strong sense of ownership and the ability to navigate a professional, high-stakes organizational environment.
• Comfort with Ambiguity: You create structure where none exists and drive progress without waiting for perfect conditions or complete information.
• Mentorship: A collaborative mindset with a passion for coaching junior members and sharing knowledge with the wider team.
• Mission-Driven: A genuine commitment to the public good and an interest in the legal and justice sector.
• Craftsmanship: An uncompromising focus on engineering excellence, performance, and clean, well-documented code.

Job Overview

We are seeking a Marine Structural Engineer to support the design, engineering, and technical execution of shipbuilding, vessel conversion, and repair projects. This role will be responsible for developing production drawings, performing structural calculations, reviewing technical specifications, and ensuring compliance with classification society requirements and maritime regulations.

The ideal candidate should possess strong structural design expertise within the marine or offshore industry and have experience working closely with clients, classification societies, designers, and shipyard teams throughout the project lifecycle.

Key Responsibilities

Engineering Design & Technical Review

• Review contracts, technical specifications, equipment requirements, and engineering documentation to ensure compliance with project obligations
• Interpret design drawings, classification requirements, and maritime regulations to support engineering activities
• Develop engineering solutions and technical proposals to address project requirements and design challenges
• Prepare technical responses, drawing comments, and engineering clarifications for clients, classification societies, and project stakeholders

Structural Design & Production Drawings

• Prepare and develop production drawings based on approved design and classification drawings
• Produce engineering drawings including General Arrangement (GA), outfitting drawings, lifesaving arrangements, structural construction plans, lifting arrangements, and other vessel-related drawings
• Perform structural strength calculations, weight calculations, and weight control analysis
• Support the development of block construction plans and structural fabrication documentation
• Ensure engineering deliverables are completed accurately and according to project schedules

Project Coordination & Stakeholder Management

• Liaise with clients, classification societies, designers, vendors, and internal project teams to ensure technical compliance and timely project execution
• Support new building, conversion, and ship repair projects throughout the engineering phase
• Participate in technical discussions and coordinate engineering matters with relevant stakeholders

Tender & Proposal Support

• Assist commercial teams during tender submissions for shipbuilding, repair, and conversion projects
• Support conceptual design development and technical proposal preparation for new business opportunities
• Review tender requirements and provide engineering input during bid preparation

Requirements

• Diploma or Degree in Marine Engineering, Naval Architecture, or a related engineering discipline
• Minimum 3-5 years of experience in marine structural engineering, naval architecture, or ship design within the marine, offshore, or shipbuilding industry
• Strong understanding of vessel structures, classification rules, and maritime regulations
• Experience preparing structural calculations, weight calculations, and production drawings
• Proficiency in AutoCAD and Microsoft Office applications
• Ability to interpret engineering drawings, technical specifications, and project requirements
• Strong analytical and problem-solving skills
• Effective communication and stakeholder management abilities
• Ability to work independently while managing multiple engineering deliverables
• Willingness to travel overseas for technical meetings when required

Please send your detailed resume in MS Word format to resume@goldtecHRs.com with

• Education Level
• Working experiences
• Each employment background
• Reason for leaving each employment
• Last drawn salary
• Expected salary
• Date of availability

AI Singapore (AISG) is Singapore's national programme in artificial intelligence, launched by the National Research Foundation (NRF) to anchor deep national capabilities in AI. Hosted at Nanyang Technological University (NTU), AI Singapore brings together Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies to perform use-inspired research, grow knowledge, create tools, and develop the talent to power Singapore's AI efforts. Since our inception in 2017, we have established a culture of respect, continuous learning, experimentation and curiosity, centred around innovation.

The candidate will join a team of AI scientists, apprentices, data and software engineers. With the team, he or she will be responsible for building evaluations that test the limits of AI models especially in terms of its multilingual, multicultural and multimodal capabilities.

Duties and Responsibilities:

• Develop and maintain evaluation frameworks and pipelines to measure the capabilities of Large Language Models (LLMs).

• Keep up to date and experiment with the latest research in multilingual, multicultural, and multimodal LLM evaluations such as the LLM-as-a-Judge paradigm.

• Work with partners to collect, translate and verify evaluation datasets.

• Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation and deployment to ensure reliable and scalable AI solutions.

• Collaborate with cross-functional teams within AI Products to design and resolve issues.

• Maintain code repository and documentation standards.

• Contribute to community engagement activities such as sharings via technical session meet-ups and article write-ups, and participating in discussion forums.

Requirements:

• Graduate from a degree program in computer science, AI, data science or related fields (or equivalent practical experience).

• Deep understanding of LLM evaluation experimental design and the advantages/limitations of various LLM evaluation methods.

• Experience in LLM inference frameworks such as vLLM and AI/Deep Learning frameworks such as PyTorch.

• Writing production level code in Python and using version control systems such as Git.

• Strong written and verbal communication skills.

• Independent learner that is capable of reading and understanding research papers.

• Fluent in English and one other Southeast Asian language for the purposes of understanding how to build quality evaluations from a multilingual and multicultural perspective.

We regret that only shortlisted candidates will be notified.