Total 5,678 Engineering job vacancies

Job Description

• Industry/ Organization Type: Cooling Solutions Provider
• Position Title: Service Engineer
• Working Location: Kaki Bukit
• Working Hours: 5.5 Days, Monday – Friday (9am – 6pm), Saturday (9am – 1pm)
• Salary Package: Basic Salary + Performance Bonus
• Duration: Permanent

Key Responsibilities

• Perform periodic servicing, preventive maintenance, and troubleshooting of CRAC/ WDS and related systems.
• Diagnose hardware and software faults, identify root causes, and implement effective solutions.
• Execute equipment power-up/ down procedures and respond promptly to emergency service calls (e-calls).
• Provide technical support and onsite training to clients on Operation & Maintenance Manuals (OMM).
• Build and maintain strong client relationships, working closely with site engineers and customer engineering teams.
• Prepare detailed service reports and submit regular (weekly/ monthly) updates on activities, progress, and corrective actions.
• Monitor contractor activities, ensuring compliance with safety, operational procedures, and quality standards.
• Ensure adherence to data center safety regulations and support ad-hoc tasks assigned by management.

APPLY NOW!!!

• Minimum ITE/ Diploma in Mechanical or Electrical Engineering (or equivalent).
• With hands-on experience in maintenance and troubleshooting electrical and mechanical systems, preferably dealing with ACMV/ DX systems.
• Possess practical knowledge of CRAC/ WDS or critical infrastructure is an added advantage.
• Good problem-solving, analytical, and communication skills (both written and verbal).
• Willing to commit for standby duties, and ability to perform manual work in data center environments.
• Candidates without experience are welcome to apply, training will be provided.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83561 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Step into a career with ASM, where cutting edge technology meets collaborative culture. ​

For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With more than 4,500 ASMers representing 70 nationalities, our people and our advanced semiconductor devices are playing a crucial role in trends such as 5G, cloud computing, AI, and autonomous driving.  But we’re more than just a tech company. We value diversity, inclusion and sustainability as we strive to make a positive impact on the world.  Our development programs help support your growth, shaping your future and pushing the boundaries of innovation to unleash potential.  

Job's mission

As a Senior Engineer, Supplier Quality within ASM’s Global Quality team, you play a key role in ensuring manufacturing excellence across internal sites and contract manufacturers. Working closely with engineering, manufacturing, and field service teams worldwide, you help resolve complex quality issues, drive continuous improvement, and strengthen quality systems aligned with ASM’s technology roadmap. Your work directly contributes to customer satisfaction, product reliability, and operational excellence in high‑tech manufacturing environments.

What you will be working on

• Create detailed and well‑structured inspection plans, partnering with cross‑functional teams to improve assembly processes, testing, and product quality.
• Lead customer escalations and feedback, working with manufacturing sites, contract manufacturers, and field teams to define clear problem statements.
• Investigate non‑conformances using structured problem‑solving methodologies, including 8D, and implement corrective and preventive actions to prevent recurrence.
• Prepare clear and comprehensive quality reports for internal stakeholders, including field service teams.
• Identify manufacturing gaps with internal teams and contract manufacturers, driving corrective actions and systematic continuous improvement.
• Track, analyze, and report quality metrics, recommending actions to achieve defined quality targets.
• Conduct product and process audits prior to shipment to ensure compliance with customer and quality requirements.
• Manage onsite customer audits and ISO certification audits at manufacturing sites, following up on action items through closure.
• Perform periodic ISO 9001 audits at contract manufacturers and ensure timely CAPA implementation.
• Measure contract manufacturer performance through monthly quality metrics and quarterly scorecards.

What we are looking for

• Bachelor’s degree in Mechanical, Electrical, Electronic, or Quality Engineering, or a related engineering discipline.
• Minimum 5 years of experience in quality engineering in a semiconductor equipment or high-tech manufacturing industries
• Experience supporting internal audits, certification audits, and/or customer audits.
• Familiarity with operational excellence tools such as Lean manufacturing, FMEA, SPC, PDCA, 8D problem solving, and Six Sigma.
• Strong problem‑solving and analytical skills, with hands‑on experience applying structured methodologies such as 8D.
• Clear and effective communication skills for collaboration with both internal and external stakeholders.
• Ability to work independently and manage multiple priorities in a global, cross‑functional environment.
• Proficiency in written and spoken English.

What sets you apart

• ISO 9001 internal auditor or lead auditor certification.
• Leadership exposure in customer escalation management.

Apply today to be part of what’s next.

We make the tech that enables the chips in devices which improve lives around the world. We do this with an eye to the future, pushing the boundaries of what’s possible through cutting-edge innovation, and driving the next wave of technological breakthroughs that shape how we live, work, and connect.

To learn more about ASM, find us at asm.com and on LinkedIn, Facebook, Instagram, X and YouTube.

ASM is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, age, nationality, social or ethnic origin, sexual orientation, gender, gender identify or expression, marital status, pregnancy, political affiliation, disability, genetic information, veteran status, or any other characteristic protected by law.

Step into a career with ASM, where cutting edge technology meets collaborative culture. ​

For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With more than 4,500 ASMers representing 70 nationalities, our people and our advanced semiconductor devices are playing a crucial role in trends such as 5G, cloud computing, AI, and autonomous driving.  But we’re more than just a tech company. We value diversity, inclusion and sustainability as we strive to make a positive impact on the world.  Our development programs help support your growth, shaping your future and pushing the boundaries of innovation to unleash potential.

Job's mission

As a Principal Engineer in Software Engineering, you will shape the software that directly powers ASM’s advanced packaging and hybrid bonding equipment. Your work will have immediate, visible impact on highly complex semiconductor systems, combining robotics, motion control, thermal systems, and process intelligence. In this role, you will lead software architecture, roadmap definition, and execution across multiple products while growing strong engineering teams and influencing global software strategy.

What you will be working on

• Define and own software development plans and roadmaps for advanced packaging solutions, delivering software across multiple hybrid bonding products in parallel.
• Lead end‑to‑end software development with a strong focus on first‑time‑right quality and robust release execution.
• Drive software architecture decisions that support long‑term business, scalability, and product evolution.
• Plan, manage, and execute multiple software baselines, ensuring on‑time delivery across complex development cycles.
• Collaborate closely with software quality teams to embed quality throughout the development lifecycle.
• Work cross‑functionally with process engineering, hardware engineering, and system integration teams to deliver tightly integrated equipment software.
• Partner with global software engineering leaders to align on software strategy, best practices, and technology direction.
• Measure, maintain, and continuously improve internal customer satisfaction.
• Build, mentor, and grow a strong team of software engineers, fostering technical excellence, ownership, and collaboration.
• Promote disciplined software baseline management, build management, and version control practices.

What we are looking for

• Bachelor’s or Master’s degree in Computer Science or a related field.
• Minimum 10 years of experience in software development and software baseline management.
• Exposure to advanced packaging process flows such as CoWoS, SoIC, or InFO.
• Strong hands‑on software development expertise in C++.
• Proven experience with customer‑oriented software baseline management and release planning.
• Solid background in modern software technologies and development practices.
• Demonstrated ability to drive software architecture aligned with long‑term business needs.
• Strong ownership mindset with proactive leadership and a customer‑oriented approach.
• Ability to define clear priorities, set ambitious yet realistic goals, and deliver results.
• Experience managing projects, schedules, activities, and resources effectively.
• Hands‑on experience with Jira, build management tools, and Git version control.

What sets you apart

• Experience in the semiconductor process equipment industry.
• Experience working in fast‑paced, customer‑driven, and rapidly evolving environments.
• Ability to handle multiple concurrent projects while meeting demanding timelines.
• Strong prioritization skills across complex and competing technical demands.

Apply today to be part of what’s next.

We make the tech that enables the chips in devices which improve lives around the world. We do this with an eye to the future, pushing the boundaries of what’s possible through cutting-edge innovation, and driving the next wave of technological breakthroughs that shape how we live, work, and connect.

To learn more about ASM, find us at asm.com and on LinkedIn, Facebook, Instagram, X and YouTube.

ASM is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, age, nationality, social or ethnic origin, sexual orientation, gender, gender identify or expression, marital status, pregnancy, political affiliation, disability, genetic information, veteran status, or any other characteristic protected by law.

Location: Novena
Salary: Up to $5,000/month
Contract: 3-Month Contract to Permanent Conversion

Job Scope:

• Manage facilities projects and addition & alteration works
• Coordinate contractors and vendors to ensure project completion within timeline
• Prepare reports, presentations, and budget justifications
• Track maintenance schedules and service contracts
• Support daily facilities operations and project activities

Requirements:

• Diploma or Degree in relevant discipline
• 4–5 years of experience in M&E or Building Services
• Knowledge in Mechanical & Electrical systems, Air Conditioning, and Blueprint Reading
• Experience in budgeting and project coordination preferred

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

Whatsapp: https://wa.me/+6597430026  

Email : kimlow@recruitexpress.com.sg

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

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

Assume a critical role in defining the future of a globally recognized firm and have a direct and significant effect in a realm tailored for top achievers in site reliability.

As a Lead Site Reliability Engineer at JPMorgan Chase within the CFS, you hold a leadership role in your team, demonstrate strong knowledge across multiple technical domains, and advise others on the technical and business issues facing them. Take lead and conduct resiliency design reviews, break up complex problems into digestible work for other engineers, act as a technical lead for medium to large-sized products, and provide advice and mentoring to other engineers.

Job Responsibilities

• Consistently models and champions site reliability culture and practices, documents and shares knowledge within your organization via internal forums and communities of practice

• Leads initiatives to improve the reliability and stability of your team’s applications and platforms using data-driven analytics to improve service levels, proactively identifying and solving technology-related bottlenecks in areas of expertise

• Drives collaboration with your team to identify comprehensive service level indicators and the stakeholder partners to establish reasonable service level objectives and error budgets with your customers

• Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.

• Serves as the main point of contact during major incidents for your application and has the skills to identify and solve the issue quickly to avoid financial loss to the business

• Offers a high level of technical expertise within one or more technical domains and provides advice and mentorship to other engineers

• Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls.

Required qualifications, capabilities, and skills

• Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines

• Formal training or certification on software engineering or site reliability engineering and 5+ years applied experience

• Demonstrated proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices

• Fluent in at least one programming language such as: Python, Java/Spring Boot, .Net

• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity.

• Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations.

• Proficient knowledge and experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection

• Proficient with continuous integration and continuous delivery practices and tooling

• Proficient with container and container orchestration

• Experience with troubleshooting common networking technologies and issues

• Advanced knowledge of software applications and technical processes with emerging depth in one or more technical disciplines, and actively self-educates to evaluate and recommend suitable new technologies

Preferred qualifications, capabilities, and skills

• Terraform

• AWS

• Python, Ansible

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=79876b814d94abcf2c8ff8787f6d7738

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Infrastructure Platforms, Data Center Services team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will take ownership of technical delivery end-to-end while actively engaging with stakeholders to translate business needs into well-planned, high-quality software solutions. This role demands a self-starter who thrives in a collaborative environment, can manage competing priorities, and drives engineering excellence across the team.

Job responsibilities

• Design, develop, and deliver full stack software solutions across frontend (React) and backend (Node.js/TypeScript, Python) services, applying strong problem-solving skills to break down complex technical challenges.

• Engage directly with stakeholders and product owners to gather requirements, clarify scope, and ensure technical solutions align with business objectives.

• Lead development planning activities including backlog refinement, sprint planning, effort estimation, and technical roadmap definition, ensuring the team delivers incrementally and predictably.

• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.

• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

• Develop secure, high-quality production code and review peers' work to maintain consistency, reliability, and adherence to engineering standards.

• Identify opportunities to eliminate or automate remediation of recurring issues to improve the overall operational stability of applications and systems.

• Maintain clear and organised documentation including technical designs, architecture decisions, and runbooks, ensuring knowledge is shared and accessible.

• Leverage AI-assisted development tools (e.g., GitHub Copilot, AI code review assistants) to improve productivity, code quality, and delivery speed, and champion their effective adoption within the team.

• Participate in communities of practice across Software Engineering to drive awareness and adoption of modern tooling, patterns, and best practices.

• Mentor and support junior engineers

Required qualifications, capabilities, and skills

• Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines

• Formal training or certification in software engineering concepts and 5+ years of applied experience delivering production software.

• Hands-on practical experience across the full Software Development Life Cycle, including system design, application development, testing, CI/CD pipelines, and operational support.

• Strong proficiency in frontend development with React (including state management and testing with Jest/React Testing Library).

• Advanced knowledge in backend development using Node.js and TypeScript to build RESTful APIs, along with strong experience in writing and maintaining comprehensive unit, functional, and integration tests.

• Demonstrated ability to communicate effectively with technical and non-technical stakeholders, translating business requirements into actionable technical plans.

• Experience working collaboratively in agile teams and participating in Scrum ceremonies (stand-ups, retrospectives, sprint planning); experience facilitating or running ceremonies.

• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.

• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

• Experience with databases such as MySQL or similar, along with exposure to cloud platforms and infrastructure-as-code practices, and familiarity with API documentation standards such as OpenAPI/Swagger.

Preferred qualifications, capabilities, and skills

• Experience with other modern frontend frameworks (e.g., Angular). Experience with Python for backend services or tooling.

• Proficiency with design and prototyping tools such as Figma for collaborating on UI/UX requirements is highly desirable.

• Experience with traditional AI/ML, such as predictive analysis, is highly desirable.

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=1d56fbfcc83ec916eb3d6e4d4a22d847

Job Description

• Prepare and review Instrumentation, Control and Automation (ICA) Works specifications.
• Assist the ICA Lead and manage the engineering design works for the Control System Architecture, Data Communication Networks, and Piping and Instrumentation Diagrams (P&IDs), Programmable Logic Controller / Distributed Control System (PLC/DCS), DDC (Direct Digital Control) and Supervisory Control and Data Acquisition (SCADA) and any other ICA Works as required.
• Handle equipment package and procurement including technical specifications preparation, technical clarification, technical bid analysis, etc.
• Collaborate with multiple stakeholders including internal teams of different trades, clients, consultants, other packages contractors, sub-contractors and vendors to ensure success of the project.
• Prepare, review and liaison with subcontractor(s) in the design and submission, ensuring allproject specifications and design standards are met.
• Work with cross function project team to support project activities, i.e. schedule, process, progress claims, work progress, etc.
• Manage and supervise the project execution, site installation, inspection, testing and commissioning, plant proving related to Instrumentation, Control and automation system and interface works with other disciplines and all stakeholders.
• Attend to clients’ comments and ensure clients’ approval & acceptance to all ICA related design, installation and Testing & Commissioning Works.
• Resolve the site technical related matters.
• Design, Engineering, FAT, Installation, Testing and Commissioning of System Control PLC/DCS, DDC and SCADA, Input / Output list, Data Communication Network for ICA, BMS, ACMV, Fire Alarm Panels, Instrumentation, FAT and SAT of Interfacing Panels, Instruments, Pumps, Cable Support System, Cabling & Termination Works.

Requirements

• Diploma in Electrical & Electronic Engineering / Instrumentation & Control Engineering /Mechatronics /Advanced Diploma in Process Control and Instrumentation or equivalent.
• Minimum 3 years relevant experience in engineering, installation, testing and commissioning of ICA Works. Candidate with more than 5 years experiences can be considered as senior level.
• Experience in Selection, Installation, Testing and Commissioning of the Instrumentation.
• Experience in ICA engineering Works, preferably in water/wastewater projects will be an added advantage.
• Experience in Programming of PLC/DCS, DDC and SCADA will be an added advantage.
• Experience in the system of Building Management (BMS), Fire Alarm, One-Way and Two- Way, ELV, ACMV will be preferred.
• Experience in ICA, BMS, Fire Alarm, One-Way and Two-Way, ELV, ACMV panel design will be an added advantage.
• Experience in Project Execution, Supervising and Coordination with subcontractors, consultant and Client.
• Good knowledge in Autocad 2D, familiar with Microstation and Autocad 3D software will be an added advantage.
• Good technical understanding and experience in water, wastewater and environmental engineering works.
• Fresh graduated candidates are also welcome.

Job responsibilities :

Functional Requirement Specifications, Testing and Documentation:

• Draft functional specifications, and system performance requirements and interface definitions across software and embedded systems

• Define unit tests and detailed system integration documents, additionally to any other documents required during the project lifecycle

• Enable and support functional and user acceptance testing

• Develop final documentation and train Users

Architect and Design :

• Lead the architectural design of cloud-based SaaS application on AWS, utilizing relevant services to ensure scalability, security, and performance, with CI/CD integration

• Implement strategies to optimize application performance, addressing latency, and ensuring responsiveness across diverse devices and platforms

Machine Learning :

• Support the integration of machine learning models into production systems.

• Ensure efficient deployment for real-time or near–real-time inference, with attention to system performance and user experience.

• Embedded Systems & Firmware Development

• Develop and maintain firmware for STM32F4 series microcontrollers, including peripheral configuration, drivers, and low-level hardware interaction.

• Support communication between firmware and higher-level applications running on Windows.

• Debug and optimize firmware–software interactions for reliability and performance.

• Edge Computing & Raspberry Pi Development

• Develop applications on Raspberry Pi 5, running Linux-based systems.

• Interface Raspberry Pi with external peripherals, including but not limited to:

• Motor drivers and motion control systems

• Camera modules and camera control pipelines

• Support edge-to-cloud commuSensors and other I/O devices (GPIO, I2C, SPI, UART, etc.)nication.

Applications Development :

• Full-stack software development on backend and frontend (eg Python, SQL, REST, JavaScript, TypeScript / node.js + React framework) for the SaaS

• Applications development on Windows environment to communicate with the firmware of the IOT optical device

• Oversee the applications development on iOS and Android

Data Management :

• Design the architecture and system for effective data storage, retrieval, and management in a cloud environment, ensuring compliance with data privacy and security standards.

Team Collaboration across Disciplines :

• Work closely with cross-discipline teams, including AIML engineers, UI/UX designers, firmware engineer and IOT-hardware engineers, to ensure a cohesive development process to integrate hardware and/or software systems

Qualifications and skills :

• Bachelor's degree or higher in Software Engineering, Computer Science or a related field

• Minimum 3 years of hands-on experience in system architecture and system development, with a solid understanding of AI, machine learning, and deep learning principles

• Hands-on coding and software design experience building robust and scalable software using Python, C+, SQL, REST, JavaScript, TypeScript / node.js + React/Angular framework

• Hands-on experience / familiar with STM32F4 microcontrollers and embedded firmware development.

• Experience developing applications on Raspberry Pi 5.

• Experience interfacing with hardware peripherals (motors, cameras, sensors, serial protocols).

• Experience in building data intensive applications in a modern technology stack Cloud services (AWS, Azure), data pipelines, SQL/No-SQL databases

• Experience building and consuming web-based APIs

• Familiar with continuous deployment environments (eg Jenkins) and test-driven development

• Good understanding and practical experience on Docker, CI/CD and Kubernetes

• Strong knowledge and practical experience of Micro services architecture.

• Strong knowledge of source code management tools such as Git

If you have aspirations to be part of a dynamic team to pioneer game-changing AI solutions for the Gemstone industry, please send your resume to us.

Job responsibilities:

• Develop machine learning computer vision applications in object detection, classification, segmentation and recognition for gemstones

• Develop LLM-applications specific to gemstone domain leveraging on latest frameworks

• Conduct User requirements, scope the AI/computer-vision project and prepare documents to define nature of dataset required for machine-learning model training 

• Work collaboratively with an entrepreneurial team of IOT-product engineers, machine learning & data scientist and software engineers, both in-house or Vendors, to successfully develop and deploy a cutting-edge solution

• Develop a comprehensive MLOps environment to manage the entire lifecycle and pipeline of machine learning projects, as well as maintain a well-documented code repository

• Conduct research and product development projects using internal gatekeeping process, prepare project and user requirements specifications, execute experiments and investigations, document and report findings, communicate to key stakeholders, and handover to downstream teams

• Execute the necessary data preparation & pre-processing, AI-model building, testing, validation and deployment to ensure reliable and scalable AI solution

Requirements:

• Bachelor’s or master’s degree in computer science, data science, artificial intelligence or related engineering fields.

• Minimum 3 to 5 years of proven experience in developing ML/DL architectures to solve real-world computer vision problems

• Strong proficiency in Python with hands-on experience in mainstream deep learning frameworks (PyTorch and TensorFlow) and their associated computer vision libraries (e.g., OpenCV, torchvision, timm, Hugging Face Transformers)

• Experience in computer vision with OpenCV and modern deep learning architectures, with a strong emphasis on Vision Transformer (ViT)-based models (e.g., DETR, DINOv2, SAM) and vision–language foundation models such as CLIP and its variants (SigLIP, BLIP); working knowledge of contrastive learning, self-supervised pre-training, and few-shot / zero-shot adaptation for downstream tasks including detection, segmentation, classification, and retrieval

• In-depth understanding of digital image processing, image transformation techniques, real-time image analytics and feature extraction in computer vision

• Experience in large-scale image data processing and architecting of data pipelines

• Possess data storytelling, information visualisation and technical writing skills

• Excellent research and problem-solving abilities, whilst maintaining curiosity about new things and enthusiasm to learn and share latest methods/techniques within the team

• Hands-on experience with cloud platforms (AWS, GCP) and modern backend/serving stacks (FastAPI, Redis, Docker) for end-to-end AI model development, deployment, and scalable inference

• Hands-on proficiency with modern AI coding agents (e.g., Claude Code, Cursor, GitHub Copilot), including their extensibility features such as Skills, Plugins, sub-agents and MCP integrations; strong prompt-engineering skills and the ability to leverage AI-assisted development workflows productively in day-to-day engineering tasks

• Command good communication and collaboration skills, with a strong sense of responsibility, integrity and reliability

Job Description

• Ensure that all interfaces between project and other package contractors are identified, documented and managed during all stages and phases of the project, FEED, detailed engineering, fabrication, construction and commissioning, start-up, etc.
• Provide relevant expertise of plant construction in the area of management and coordination.
• Represent the Project where appropriate to client, consulting companies and other contractors or service providers as appropriate to the needs of the work. It is necessary to proactively manage the information and responses relevant to all internal and external interfaces.
• Oversee general Interfaces associated with contract package delivery at point of interfaces, Interface schematics, Tie-ins, Project schedule impact/construction plan for interface scope, Contracting issues for interface elements, structure clashes, permits, and HSE of interfaces
• Ensure development and maintenance of an overall Interface Management Plan and Register for projects/packages covering all identified and potential interfaces, along with the relationship/references relative to the activities as per the contract.
• Support Project Manager in resolving all interfaces between Contractors, sub-contractors and clients.
• Ensures from a point of interface perspective that technical integrity and HSE requirements are met cost effectively throughout the project construction.
• Monitor status of interface activities between the different project packages to ensure that all interface related requirements are met during detailed engineering and according to the Project milestone schedule and completion priorities.
• Develop Interface documents, systems, diagrams, matrices etc. to coordinate completion of agreed deliverables.

Requirements

• Bachelor's Degree in Engineering (Degree must be recognized by the Professional Engineers Board, Singapore).
• 5 years’ experience of Front-end engineering, engineering design, procurement, construction, hook-up, and commissioning with a good understanding of technical integrity management systems, project management, quality and assurance systems.
• Green field project and a willingness and ability to work with all disciplines and nationalities.
• Teamwork skills being able to work with the various parties such as client, other contractors, sub-contractors, vendors to resolve issues and reach decisions that are in the best interest of delivering the implementation plan.
• Solid experience in project engineering and project management.
• High awareness of safe working practices associated with design, construction, tie-in, pre-commissioning, installation, hook-up and commissioning of environmental project.
• Strong interpersonal and English communication skills – verbal and written.
• Fully conversant in Microsoft Office Products (Outlook, Word, Excel, Power point, Project, etc.).

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/AI-Engineer-for-AI-Singapore-%28AI-Talent-Development%29/33283-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF), Singapore, to build and anchor deep national capabilities in AI.  

AISG is supported through a government-wide partnership including the NRF, Ministry of Digital Development and Information (MDDI), Infocomm Media Development Authority (IMDA), Economic Development Board (EDB) and Enterprise Singapore (ESG). We bring together research institutions and the vibrant ecosystem of AI start-ups and companies to support impactful research, develop talent, and power Singapore's AI efforts.

AI Singapore (AISG) in partnership with the SAF AI Centre (SAIC), is seeking an experienced AI engineer to provide mentorship and consultancy to SAIC engineering teams, support real-world project selection for skills deepening, and enable professional certification readiness.

SAIC is a unit within the Digital and Intelligence Service, dedicated to addressing SAF's operational data science challenges and operationalising AI solutions. As the centre of excellence for AI, SAIC enhances the operational capabilities of SAF, driving productivity and efficiency through innovative AI solutions that advance SAF's defence capabilities.

Duties & Responsibilities

In this role, you will:

• Develop and deliver AI courses and programmes that raise AI fluency level for SAF workforce, including but not limited to playbooks for operational users and raising awareness of common AI use cases within SAF.
• Provide technical mentorship via sprints or personal mentorship; capture feedback on knowledge sharing and technical problem-solving impact.
• Identify real-world AI projects that build software engineering depth and machine learning pipeline skills of workforce for certification readiness. 
• Assist Senior AI Engineer to develop and maintain a job-skills-proficiency (JSP) map.
• Assist Senior AI Engineer to execute AI engineer certification programme.

Qualifications

• Degree in computer science, engineering, data science, or equivalent practical experience.
• Minimum 1 year in software engineering / ML engineering / applied AI and deploying models into production.

Responsibilities

• Assist in construction and basic design development phase. Preparation of equipment, technical specifications, general arrangement, detailed equipment compartment layouts, space coordination and equipment list.
• Review all mechanical equipment, vendor’s proposals for technical accuracy and constructability. Understand sizing of equipment and prepare equipment specification.
• Prepare working drawings, establish design criteria standards specification and mechanical construction guideline drawings.
• Develop and check an equipment’s handing study for marine spaces and decks.
• Check submittals and prepare the installation or construction drawings when needed.
• Perform site visits to solve engineering problems when required to determine existing conditions or verify new construction.
• Develop and check marine and drilling system PFDs or P&IDs, including equipment size systems and calculate pump system pressure losses.
• Coordinate / execute contract specification requirements and production inputs into engineering drawing / document.
• Provide progress reporting and schedule management of engineering deliverables.
• Coordinate with other production team members, subcontractors and consultants to resolve technical issues onsite which affect the mechanical schedule and project deliverables.
• Meet with vendors, client reps, accreditation representatives when required.
• Review and reply to class comments.
• Perform any other tasks as may be assigned by the supervisor.
• Ensure compliance to relevant government regulations and company’s quality, safety, health and environmental (QSHE) policies, practices and procedures at all times.

Requirements

• Minimum 3 years of relevant experience working in a marine/offshore industry and a Diploma in mechanical or marine or related engineering discipline or minimum 6 years working in a marine/offshore industry.
• Prior experience in newbuild andconversion of AHTS.
• Possessing knowledge in HVAC systems, piping, and mechanical equipment.
• Familiarity with Marine & Offshore rules, regulations and requirements.
• Knowledge of Intergraph Software will be an added advantage.
• Good communication skills, meticulous, resourceful, able to multi-task.
• A team player with the ability to work independently as well as in a team.
• Able to perform marine equipment’s sizing.

Job Description:

• In charge of performing quality assurance functions with regard to the product, process and maintain quality management system while ensuring compliance with all customers’ requirements
• Responsible for reviewing and revising quality procedures and quality control instructions
• Liaise with customers / vendors / suppliers on non-conformance activities, perform root cause analysis and determine effective corrective actions to reduce or eliminate the cost of poor quality
• In charge of performing internal audits to evaluate quality system, products, and processes
• In charge of performing vendors’ and on-site audits as required
• Drive down monthly Cost of Poor Quality/ scrap

Requirements:

• Degree in Mechanical / Aeronautical Engineering / other relevant disciplines
• Minimum 2 years of experience in Quality Management System and NADCAP

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

• In charge of repair, maintenance, and troubleshooting of machinery onboard.
• Execute lathe machining, basic gas welding, and cutting works to facilitate repair to machinery.

Requirements:

• Nitec in Mechanical engineering or equivalent
• At least 2 years of experience in mechanical fitment, basic gas and TIG welding, hydraulic and pneumatic system troubleshooting.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at

www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Job Description:

• Responsible for creating manufacturing process sequence, from receipt of raw materials till finished parts shipment.
• In Charge of developing new processes solid modeling and create/update work instructions, in accordance with engineering drawings and specifications.
• Responsible for creating CNC code/program for machining as well as designing toolings, fixtures and gauges.
• In charge of creating special processes such as Heat Treatment, Brazing, EDM, Shotpeening and Welding etc.
• Responsible for conducting pre-production pilot run and training for associates.
• Provide technical support to Production to achieve technical and quality requirements.
• Responsible in liaising with OEM on product requirements, process qualifications and technology development.
• Support continuous improvement projects and Request for Quote (RFQ) proposal development and process

Requirement

• Min Degree in Mechanical/Manufacturing/Aeronautical/Material Engineering
• Min 3 years’ experience in precision engineering in Manufacturing Environment with competent with CAD software;
• Experience in special processes such as Heat Treatment, Brazing, EDM, Shotpeening and Welding will be advantage

To submit your application, please apply online apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd.

EA License No: 17C8900