Job Description

What the role is:You will be a member of the AI/ML Engineering core center of competency under the Development & Innovation for Technology ProducTisation & Operations (DITTO) department. You will be involved in the end-to-end agile development lifecycle for in-house AI/ ML projects starting from UI/ UX Design to Cloud Engineering & Operations, Software Development, DevSecOps, Quality Assurance and Application Security.Key ResponsibilitiesProvide mentorship, evaluate submitted problem statements and work with Product Owner and/or Citizen Developers to automate and/or simplify potential day-to-day processes and workflows using AI/ ML technologies, which include LLM prompting as part of Generative AIWork with UI/ UX Designer as they engage the Product Owner and stakeholders for user research to produce the User Journey Maps and high-fidelity wireframes, which feeds into development sprints (where required)Develop clean, efficient and extendable codes using R, Python and other relevant programming languages, which includes understanding code refactoring and design patterns to reduce and/or eliminate technical debtWork with Cloud Engineers and/or Application Infrastructure Engineers to setup cloud services for deployment on Government on Commercial Cloud and/or Commerical Cloud (where required)Work with Quality Assurance Engineer to prepare test cases as well as entry and exit criteria for SIT and UAT to ensure that user requirements are met as described per product backlogWork with Application Security Engineer to perform System Security Acceptance Test (SSAT), which includes Secure Code Review (SCR), Vulnerability Assessment (VA) and Penetration Test (PT) and remediate the security findings before seeking clearance and approval from CISO and CIO respectivelyMaintain and update library of reusable code snippets, components and modulesDevelop technical documentation to guide future AI/ ML development projectsIdentify best practices and continuous improvement in deployed automationsConduct AI/ML-related brown bags and information sessions for staff to share knowledge and increase adoptionRequirementsDegree in Computer Science, Engineering or related disciplines. Highly proficient in programming languages such as R and Python and other relevant programming languages.Good understanding of prompt engineering and foundation models from Microsoft, AWS and Google. Knowledge in Retrieval Augmented Generation (RAG) and few-shot prompting concepts will be an added advantage.Participated in at least one full software or product development cycle, preferably using Agile MethodologyExcellent communication skillsTeamwork and collaboration skillsPossess critical thinking and problem-solving skillsAbout Maritime and Port Authority of Singapore:"The Maritime and Port Authority of Singapore (MPA) was established on 2 February 1996, with the mission to develop Singapore as a premier global hub port and international maritime centre (IMC), and to advance and safeguard Singapore\'s strategic maritime interests. MPA is the driving force behind Singapore\'s port and maritime development, taking on the roles of Port Authority, Port Regulator, Port Planner, IMC Champion, and National Maritime Representative. MPA partners the industry and other agencies to enhance safety, security and environmental protection in our port waters, facilitate port operations and growth, expand the cluster of maritime ancillary services, and promote maritime R&D and manpower development."

Maritime and Port Authority of Singapore