Senior Engineer

5 days ago

Singapore MPA Maritime and Port Authority of Singapore Full time

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 Responsibilities**
- Provide 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 AI
- Work 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 debt
- Work 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 backlog
- Work 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 respectively
- Maintain and update library of reusable code snippets, components and modules
- Develop technical documentation to guide future AI/ ML development projects
- Identify best practices and continuous improvement in deployed automations
- Conduct AI/ML-related brown bags and information sessions for staff to share knowledge and increase adoption

**Requirements**:

- Degree 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 Methodology
- Excellent communication skills
- Teamwork and collaboration skills
- Possess critical thinking and problem-solving skills

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