364 AI Engineering Manager jobs in Singapore

Imagine what you could do here. At Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. Why Apple? At Apple, we believe our products begin with our people. By hiring a diverse team we drive creative thought. By giving that team everything they need we drive innovation. By hiring incredible engineers we drive precision. And through our collaborative process we build memorable experiences for our customers. We are looking for a highly skilled and experienced AI Engineering Manager to lead the development and strategy of next generation AIML Products, Platforms and Architecture from 0-1n. In this role, you will be at the forefront of sharping the future of this transformative technology, drive the vision, roadmap, and execution of innovative AI solutions that leverage generative models to create captivating user experiences across our product lines. You will collaborate with cross-functional teams of business SMEs, engineers, data scientists, designers, and researchers to develop breakthrough products that push the boundaries of AI and deliver real value to our internal and external users.

Team Leadership

• Lead and mentor a team of AI Architects, Engineering Program Managers, Prompt Engineers, AI Prototypers and Technical Product Managers providing guidance, support and professional development opportunities.
• Foster a culture of collaboration, innovation and continuous learning within the team to break glass ceilings.
• Build streamline process, onboard new tools, effective resource planning to help team members be effective and do their best work.
• Proactively identify issues, manage risks, identify mitigations, marshal resources, and re-plan as needed.

Business & Technical Leadership

• Possess a deep understanding of Conversational AI and GenAI powered products within the Commerce Domain.
• Stay abreast of the latest advancements in the field and identify relevant technologies for implementation.
• Ability to pick up new technologies quickly.
• Collaborate effectively with Machine Learning and Software Development Engineers to see around corners and build futureproof products.

Define product vision and strategy

• Identify and capitalize on new opportunities for Conversational and Generative AI within Channel Sales and beyond.
• Develop a comprehensive product roadmap aligned with user needs, market trends, and technological advancements.
• Set clear goals and priorities for the AI product portfolio.

Product development and execution

• Own the entire product lifecycle, from ideation and prototyping to launch and post-launch optimization.
• Conduct user research and gather feedback to inform product iterations and improvements.
• Create compelling product documentation and presentations for internal and external stakeholders.
• Deep understanding of Machine Learning and Software Development and a strong interest in user experience.

Lead cross-functional business & engineering collaboration

• Identify and resolve conflicts, inter-dependencies, and alignment issues quickly and effectively.
• Build relationships and collaboration opportunities within Channel Sales and with other organizations.

Performance Management

• Define key performance indicators (KPIs) and metrics to measure performance of AI Powered products.
• Monitor and analyze performance data, providing key insights and recommendations for continuous improvement.
• Advocate for data-driven decision making across the organization.

• 10+ years of experience in Machine Learning and Software Engineering experiences with successful launch of large scale consumer facing Commerce products WW.
• 5+ years leading product and program teams and managing direct reports.
• Master’s degree in Computer Science, AI, Machine Learning or a related technical field.
• Successful track record of working closely with design and engineering teams during the full product lifecycle, including research, planning, implementation and launch.
• Experience positioning and launching of new AI powered products.
• Extraordinary verbal and written communication skills.
• Ability to filter and distill relevant information for the right audience.
• Demonstrated ability to develop compelling talking points and stories about new AI powered product and technologies for a broad audience including internal/external stakeholders, leaderships, users etc.
• Strong experience leading cross-functional initiatives with a clear impact on the direction of products.
• Strong organizational skills, able to handle ambiguity with experience in thriving in a startup environment within a large organization.
• Strong python and software development coding experience, with the ability to build 0-1 product by oneself if needed.
• Proven customer focus and curiosity.
• Demonstrates attention to detail and enjoys both hands-on work and high-level strategic thinking.

• Experienced building new relationships and collaboration within Apple teams in different organizations with official leadership visibility to help accelerate technology or product development.
• Deep understanding of Apple Culture, Tools & Process, providing new team members with the ability to thrive at Apple.
• Experienced setting up new process, tools, KPIs from ground up.
• Break barriers and out of the box thinker.
• Analytical and strategic thinker.
• Problem solver with a proactive approach.
• Collaborative mindset, team player and willing to mentor team members.
• Able to influence without authority.

Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Seniority level: Director
Employment type: Full-time
Job function: Engineering and Information Technology
Referrals increase your chances of interviewing at Airwallex by 2x
About Airwallex
Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 150,000 businesses worldwide—including Brex, Rippling, Navan, Qantas, SHEIN and many more—to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of more than 1,800 bright and innovative people across 26 offices worldwide. Valued at US$6.2 billion and backed by world‐leading investors, Airwallex is building the future of global banking.
Attributes We Value
We hire builders with founder‐like energy who want real impact, accelerated learning, and true ownership. You are motivated by our mission, move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You’re humble and collaborative, turning zero‐to‐one ideas into real products, getting stuff done end‐to‐end, and using AI to work smarter and solve problems faster.
About The Team
We are seeking a highly skilled and motivated Engineering Manager to lead our AI Platform team. The AI team’s purpose is to make Airwallex an AI‐driven company by leveraging cutting‐edge AI and machine‐learning technologies to drive innovation, improve operational efficiency, and enhance customer experience.
What You’ll Do
Develop and execute the strategy for the AI team, aligning the technical direction and roadmap with Airwallex’s business objectives.
Build, mentor, and lead a high‐performing team of software engineers and AI specialists, fostering a culture of collaboration, creativity, and technical excellence.
Partner closely with Product, Design, and Operations to define the roadmap, prioritize a measurable backlog, and deliver high‐impact AI solutions.
Own the architecture and system quality across our AI services, providing deep technical guidance on model development, deployment, and maintenance.
Remain hands‐on where it matters most, guiding architectural designs, reviewing critical models and APIs, and de‐risking complex initiatives.
Champion best practices for the entire AI lifecycle, including prompt‐tuning, context engineering, fine‐tuning, annotations, and human‐in‐the‐loop feedback.
Own the operational health of our production AI systems, including on‐call readiness, model monitoring, incident response, post‐mortems, and continuous reliability improvements.
Lead the talent strategy for your organization—recruit, onboard, and develop top‐tier engineers and managers, building a diverse team and robust succession plans.
Effectively communicate progress, insights, and the business impact of AI initiatives to executive leadership and other stakeholders across the company.
What You Need To Have
We’re looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.
Minimum Qualifications
Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. Advanced degrees are an advantage.
Experience: Minimum 10+ years of experience in software engineering or AI/ML development, with at least 3 years in a leadership role managing high‐performing teams.
Technical Skills: Proficiency in Python; strong understanding of AI/ML frameworks and libraries; experience with cloud platforms (e.g., Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
Leadership Skills: Proven ability to build, lead, and inspire a diverse team focused on delivering business‐driven outcomes.
Problem‐Solving: Strong analytical and problem‐solving skills with the ability to understand complex business problems and propose effective technical solutions.
Communication: Excellent verbal and written communication skills, with the ability to articulate technical concepts to both technical and non‐technical stakeholders.
Innovation Mindset: Passionate about AI and technology with a keen interest in staying updated on the latest trends and advancements in the field.
Equal Opportunity
Airwallex is proud to be an equal opportunity employer. We value diversity and consider anyone seeking employment at Airwallex based on merit, qualifications, competence, and talent. We do not regard race, religion, sex, disability, or any other protected status when making hiring decisions. If you have a disability or special need that requires accommodation, please let us know.
Airwallex does not accept unsolicited resumes from search firms or recruiters. Airwallex will not pay any fees to search firms or recruiters unless an agreement has been entered into with respect to a specific open position. Search firms or recruiters submitting resumes to Airwallex on an unsolicited basis shall accept this condition.
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Responsibility
Assist Assistant/ Engineering Manager in managing the maintenance of permanent way and 3rd rail systems in the JRL so as to ensure that the safety, reliability and availability of the systems meet the standards agreed with the Operating Department and Regulator.
Assist Assistant/ Engineering Manager to oversee all permanent way maintenance group in ensuring tunnels, permanent way and 3rd rail are maintained to the standards agreed with the Operating Department
Manage all track access request in JRL
Participate in the section’s planning work to ensure that viaduct, permanent way and 3rd Rail are maintained to the standards agreed with the Operating Department
Participate in developing and implementation of failure management and emergency response procedures and processes
Participate in achieving and maintaining of ISO 14000 quality standards
Participate and contribute recommendation to Department Management in decision-making process on disciplinary action, promotion and reward
Plan and execute maintenance of tunnels, structures and buildings
Manage the route protection team to provide support in route protection works to LTA Development and
Building Control (DBC)
Preparation of Civil related contract specifications
Assist in taking over of buildings, civil structure and tracks of JRL new stations and depots
Manage and supervise contractor maintenance of viaduct, structures and buildings
Meet targets agreed with the Operating Department for system safety, reliability and availability
Develop and implement failure management and emergency response procedures and processes
Manage, supervise and train in-house staff
Any other work assigned by Assistant / Engineering Manager
Requirements
To manage and control expenditure within approved budget
A recognised degree in Engineering
Preferably 1 years relevant experience in construction, engineering or permanent way in a railway environment
Hands on experience in start-up operation
Good interpersonal skills
Prepared to work during non-traffic hours after midnight
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Manager/Senior Manager, Commissioning & Engineering Management
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Direct message the job poster from MOH Holdings (Singapore)
Summary of the Role
In the role, the incumbent will assist the Head, Commissioning & Engineering Management (CEM) in concept, schematic and detailed design of healthcare facilities/infrastructure from the perspective of facility operations and functional design, referencing Design for Maintainability, Operability, Safety & Security (MOSS) outcomes.
He/She will actively assist and guide the HIPD team on developing a collective and collaborative guideline on Healthcare Facilities/MEP Systems inspection, testing & commissioning which includes validation and verification with occupiers/users. This entails long, mid and short-term strategic and meticulous planning to ensure that the Healthcare Facilities/MEP Systems design fulfills the continuous and uninterrupted operations of healthcare building/facility, plantrooms, equipment and all infrastructural assets.
Job Responsibilities
Identify new MEP and Building Services technologies relevant to MOSS process and implementation in healthcare facilities.
Develop and implement MOSS guidelines and KPIs through collaboration with healthcare users/occupiers and stakeholders to achieve hospital infrastructure targets.
Provide guidance and assist the project team to ensure adequate MEP provision for HIPD Healthcare Facility Development by establishing Design for Maintainability, Operability, Safety & Security (MOSS) processes.
Meet with industry vendors and professional practitioners to remain updated on current technologies trends and systems.
Attend study trips and seminars or conferences where required and necessary.
Actively collaborate with project development team through engagement with users/occupiers to review and develop collective testing and commissioning procedures for facilities and MEP infrastructure systems.
Coordinate with project team and attend early engagement discussions/meetings with occupier and stakeholders to establish collective MEP/Facility inspection and Testing & Commissioning (T&C) guidelines.
Assist to standardise the inspection and T&C process/guidelines throughout construction to ensure smooth handover of project completion.
Assist in defining the scope of boundaries under the T&C programme and establish effective inspection and test procedures along with integrated building system performance.
Attend and witness FATs & SATs for selected major MEP plant and systems for development projects.
Lead and witness every stage of commissioning which includes Integrated System (Scenario) Tests for the major plant and systems.
Job Requirements
Engineering Degree in Engineering or Facilities/Built Environment discipline from a recognised university. Candidates without a recognised degree or with technical diploma and more than 15 years of relevant healthcare facilities and engineering design/commissioning experience may be considered.
Proficiency in engineering tools such as AutoCAD, BIM and ability to read engineering and technical drawings. Proficiency with general office PC applications (Word, spreadsheets).
Familiar with BIM modelling, BIM FM, SMART FM etc. related applications and good insights in projects & contract management, procurement methodologies and evaluation/assessment of engineering cost norms.
Matured, able to lead a small group of managers/assistant managers.
Ability to work across teams and collaborate with other offices for work synergies. Able to anticipate user needs, multitask and manage change of evolving healthcare environment/requirement.
Possess initiatives and a keen sense in the evolving healthcare facilities operations and engineering design requirements.
Good analytical and organisational skills with strong leadership skills, structured with strong work ethics.
Resourceful, good team player, result driven and able to work independently in a fast‐paced environment.
Has a natural interest for innovative operational technology and application.
Has an obvious safety mindset and displays good WSH behavior.
Sneak Peek into What You Can Expect to Learn
Growth Mindset: Embrace continuous learning and personal development through personalised training programs and mentorship from your team members.
Impact: Make a significant impact by contributing to key projects that drive the company’s strategic goals and mission. Be part of a team that designs and builds state‐of‐the‐art, resilient, and green healthcare facilities to meet the growing needs of our community.
Seniority level
Mid‐Senior level
Employment type
Full‐time
Job function
Other
Industries
Hospitals and Health Care
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Software Engineering Manager, Applied AI
Job Description
We are seeking a software engineering manager to lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google & top Google customers. You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models. We are looking for a manager with a strong track record of building and shipping software, and leading engineering teams, ideally with some experience in early-stage environments, where you may have contributed to scaling products from initial concept to production. The ideal candidate will be motivated by the opportunity to drive product & business impact, and develop strong relationships with research teams.
This role requires a strong software engineering foundation, a passion for building and iterating on software products, and proven leadership skills. We are looking for a manager who thrives in fast-paced environments, and has the proven ability to deliver high-quality code & guide a team to success. Experience in end-to-end development is essential, as is the ability to mentor and develop junior engineers. We particularly value experience in early-stage or startup environments, where managers take ownership and drive product development from the ground up.
Job responsibilities
Lead a team in the design and development of scalable software applications leveraging generative AI models.
Guide the team in rapidly developing new features and iterating based on evaluation results.
Collaborate with researchers and product managers to translate research advancements into tangible product features.
Oversee the optimization of software performance and ensure the reliability of deployed applications.
Champion the development of best practices for building and deploying generative AI applications.
Lead the architecture and development of new products & features from 0 to 1.
Mentor and develop team members, fostering a collaborative and high-performing environment.
Partner with PM team to qualify & size new project opportunities.
A bachelor degree in computer science, electrical engineering or equivalent experience.
5 years of experience in minimum of one ML field (eg. media generation, reinforcement learning, infrastructure etc.)
7+ years of experience leading technical projects and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning), including at least 5 years of experience in a people leadership role overseeing and guiding technical teams.
Preferred qualifications
Experience with generative AI models and applications.
Contributions to open-source projects.
Experience with front-end development.
Proven experience in rapidly developing and shipping software products in a fast-paced, customer-facing startup-like environment, demonstrating adaptability to changing priorities.
Experience evaluating model performance, analyzing results, and implementing improvements.
Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).
Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.
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Overview
Join to apply for the
Artificial Intelligence/Machine Learning Modeller- Global Markets
role at
Barclays . Join the Barclays Global Markets in Singapore as an AI/ML Modeller where you’ll play a crucial role in building an AI/ML team and we’re doing it with start-up energy: lean, collaborative, and relentlessly focused on impact. We’re looking for technically exceptional, intellectually curious individuals who thrive on solving complex problems with elegant, practical solutions. You’ll help shape a greenfield function, designing and deploying models that drive innovation across trading and distribution. You’ll be assessed on your ability to think strategically, manage risk, and deliver high-quality, scalable solutions. You will be responsible to build and productionize Machine Learning models across asset classes, apply advanced techniques in Machine Learning, statistics, and applied mathematics using Python (PyTorch or similar) and work hands-on with cloud platforms like AWS SageMaker to scale solutions fast.
This Role Requires These Essential Skills/ Qualifications
Master’s degree in a Science, Technology, Engineering and Mathematics (STEM) field (PhD preferred).
A proven record of a strong foundation in Machine Learning, data science, and software engineering.
Proven experience with Python
Deep expertise in one of the following: Natural Language Processing (NLP), Reinforcement Learning, Time Series, Algorithmic Trading and Machine Learning Engineering
Demonstrated success and passion for crafting solutions that are technically rigorous and operationally effective.
Champions a collaborative mindset and a drive to learn, iterate, and improve.
Publications or open-source contributions are valued—we value original thinking.
Desirable Skills And Qualifications
Experience in quant trading (especially eFX) or alpha research.
Large Language Models (LLM) expertise.
Familiarity with vector databases, SQL/NoSQL, and Amazon Bedrock.
You may be assessed on key critical skills relevant for success in the role such as mathematics, finance, programming, risk and controls, change and transformation, business acumen, and strategic thinking.
Purpose of the role
To provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities.
Accountabilities
Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets.
Working closely with sales teams to identify clients' needs and develop customised solutions.
In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics.
Provide front office infrastructure support through ownership and maintenance of analytical libraries.
Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment.
Assistant Vice President Expectations
To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
People Leadership behaviours: Listen, Inspire, Align, Develop others.
For individual contributors, lead collaborative assignments and guide team members through structured assignments, identifying the need for inclusion of other areas of specialisation to complete assignments.
Consult on complex issues; provide advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and develop new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Collaborate with other areas of work to keep up to speed with business activity and strategy.
Engage in complex analysis of data from multiple sources of information to solve problems creatively and effectively.
Communicate complex information to various audiences; influence stakeholders to achieve outcomes.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship and the Barclays Mindset – to Empower, Challenge and Drive.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Banking and Financial Services
Barclays is required by law to confirm that you have the Legal Right to Work in any role that you apply for. If you currently hold a work visa sponsored by Barclays, or you would require sponsorship from Barclays, you must declare this as part of your application. Sponsored visas are role and entity specific, and any changes must be reviewed. It is important that you ensure you are working on the correct visa at all times. Failure to accurately disclose your visa status or Legal Right to Work may result in your application or any employment offer being withdrawn at any time.
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Purpose of the role

To provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities.

Accountabilities

• Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets.
• Working closely with sales teams to identify clients' needs and develop customised solutions.
• In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics.
• Provide front office infrastructure support though ownership and maintenance of analytical libraries.
• Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join the Barclays Global Markets in Singapore as an AI/ML Modeller where you’ll play a crucial role in building an AI/ML team and we’re doing it with start-up energy: lean, collaborative, and relentlessly focused on impact. We’re looking for technically exceptional, intellectually curious individuals who thrive on solving complex problems with elegant, practical solutions. You’ll help shape a greenfield function, designing and deploying models that drive innovation across trading and distribution. You’ll be assessed on your ability to think strategically, manage risk, and deliver high-quality, scalable solutions. But above all, we value curiosity, creativity, and a willingness to challenge the status quo. You will be responsible to build and productionize Machine Learning models across asset classes, apply advanced techniques in Machine Learning, statistics, and applied mathematics using Python (PyTorch or similar) and work hands-on with cloud platforms like AWS SageMaker to scale solutions fast.

This role requires these essential skills/ qualifications:

• Master’s degree in a Science, Technology, Engineering and Mathematics (STEM) field (PhD preferred).
• A proven record of a strong foundation in Machine Learning, data science, and software engineering.
• Proven experience with Python
• Deep expertise in one of the following: Natural Language Processing (NLP), Reinforcement Learning, Time Series, Algorithmic Trading and Machine Learning Engineering
• Demonstrated success and passion for crafting solutions that are both technically rigorous and operationally effective.
• Champions a collaborative mindset and a drive to learn, iterate, and improve.
• Publications or open-source contributions? Even better—we value original thinking.

Desirable skills and qualifications

• Experience in quant trading (especially eFX) or alpha research.
• Large Language Models (LLM) expertise.
• Familiarity with vector databases, SQL/NoSQL, and Amazon Bedrock.

You may be assessed on key critical skills relevant for success in the role such as mathematics, finance, programming, risk and controls, change and transformation, business acumen, and strategic thinking.

Barclays is required by law to confirm that you have the Legal Right to Work in any role that you apply for. If you currently hold a work visa sponsored by Barclays, or you would require sponsorship from Barclays, you must declare this as part of your application. Sponsored visas are role and entity specific, and any changes must be reviewed. It is important that you ensure you are working on the correct visa at all times. Failure to accurately disclose your visa status or Legal Right to Work may result in your application or any employment offer being withdrawn at any time.

Build and implement Systems Engineering capabilities to support Reliability in Railway Engineering.
Consolidated OE capabilities to undertake Asset Reliability Trending and Analysis, Asset Modifications, Maintenance Process Improvements, Configuration Management, facilitate the development of CdM and PdM capabilities.
Support development of policies to achieve the Reliability and Maintainability.
Major Responsibilities
Lead and collaborate with Line Engineering Departments for Reliability Trending & Analysis to identify improvement and enhancement of Railway System.
Lead to identify Technical Analysis on Asset Modification of Railway System.
Support Line Engineering Departments on Maintenance Process Improvement for productivity enhancement of Railway System.
Support Line Engineering Departments on Maintenance Schedule Review for any risk identification of Railway System.
Support Line Engineering Departments in Significant Railway Defects Investigations.
Support MEC Section in implementing CdM and PdM of Railway System.
Any other tasks as assigned by superior(s)
Specific Safety Responsibilities
To comply with SBST’s Safety, Health and Security Policies.
Ensure all projects, research, etc. are performed in accordance with applicable rules and procedures.
Responsible for the ensuring of the implementation Safety within the department.
The above activities are no means exhaustive and are subjected to amendment whenever is needed.
Job Specifications
Minimum Education / Qualifications
Degrees or post-graduate qualifications in Science or Engineering.
Member of IE Singapore or/and other professional institutions.
Chartered Engineering in Transportation (Railway) is preferred.
Minimum Years of Relevant Experience
3 years of relevant Railway Engineering Experience.
At least 3 years of leadership and managing skill is an advantage.
Knowledge/Skills
Knowledge in computer hardware or/and software applications.
Up to date on latest technologies.
Keen interest in research and experimentation.
Attributes (functional & leadership competencies)
Able to lead a team.
Can work with own initiative and independent.
Able to cope with stress.
Strong planning, organisation, interpersonal and communication skills.
Resourceful, self-motivated and results-oriented.
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