- 경험
- 1년 이상
- 샐러리
- —
- 채용 공고
- 1
- 게시됨
- 5시간전
- 작업 모드
- 사무실에서
- 교육
- Degree in Statistics, Machine Learning, Computer Science, Operations Research, or related field
- 적임
- Open to all applicants, including those without prior experience in the role.
- 재개하다
- 신청 시 필수 사항
당신이 일하게 될 곳
직무 설명
Role Overview
As an AI Engineer within the Ministry of Defence of Singapore, you will spearhead data science and AI projects designed to improve decision-making across policy, operations, and resource management sectors. Working with the central AI team, you will engage cross-functionally with business and technical stakeholders to co-develop impactful AI applications, simultaneously fostering AI proficiency through knowledge sharing and promoting responsible AI practices.
Key Responsibilities
- Lead end-to-end data science and AI engineering initiatives including ideation, data processing, model creation, implementation, operational embedding, and presenting findings to stakeholders.
- Design, build, and deploy AI systems that convert insights into practical recommendations or automated actions for enhanced decision-making.
- Collaborate closely with business teams to identify potential AI applications, translate challenges into AI-driven solutions, and create proof-of-concept models to demonstrate value.
- Maintain strict standards throughout data preparation, modeling, version control, deployment, and ongoing monitoring, while exploring innovative techniques to enhance system performance.
- Document all technical activities, methodologies, model configurations, deployment details, and validation procedures comprehensively.
- Organize and contribute to knowledge-sharing events for AI and data science colleagues within MINDEF/SAF, tailoring technical content for audiences with varying expertise levels.
Challenges
- Effectively communicating complex technical information to diverse audiences including experts and senior leaders with limited technical background.
- Staying current with rapid advancements in data science and AI methods and tools.
- Maintaining strong collaborative relationships with domain experts across multiple sectors to support broad AI and data science initiatives within the organization.
Candidate Profile
- Educational background in Statistics, Machine Learning, Computer Science, Operations Research, or similar disciplines.
- Preferred minimum of one year professional experience in roles related to data science, AI, or AI engineering; candidates without prior experience are also encouraged to apply.
- Experience with large language models (LLMs), agentic AI frameworks, and associated design patterns is a plus.
- Familiarity with model deployment and MLOps practices using commercial cloud services is advantageous.
- Proficient in at least one programming language such as Python, R, or SQL, along with AI and machine learning libraries/frameworks like PyTorch or TensorFlow.
- Demonstrates curiosity, creativity, and attention to detail in problem-solving.
- Capable of thriving in a dynamic, teamwork-oriented environment.
- Excellent communication and interpersonal skills with the ability to convey complex concepts clearly to non-technical audiences.
Additional Information
Appointments will be matched to the candidate's level of experience. Only shortlisted individuals will be contacted.