SkillsFuture Singapore
1 day ago
[What the role is]
The Graduate Industry Traineeship Programme within the Public Service () aims to provide fresh graduates with opportunities to gain industry-relevant skills and experience that can strengthen their employability to take up full time roles in the sector.
Join the SkillsFuture Singapore Agency as an AI Engineer Trainee in the Data Strategy & Analytics Division (DSAD). Trainees will be exposed to impactful projects in artificial intelligence and machine learning, supporting SSG's mission to enable individuals to learn for life, pursue skills mastery, and develop fulfilling careers for a future-ready Singapore.
Working alongside experienced engineers and data scientists, trainees will receive mentorship and training opportunities throughout their traineeship, developing both technical competencies and professional skills aligned with SSG's ACCOLade values of Adaptability, Commitment, Collaboration, Openness, and Learning.
[What you will be working on]
AI Implementation and Technical Development
Assist with AI implementation tasks including data pipeline automation and model deployment under the guidance of experienced AI Engineers, developing foundational competencies in machine learning algorithms, data processing, and model optimisation
Support the development and maintenance of comprehensive technical documentation for AI models and workflows, ensuring knowledge transfer and system sustainability while building technical writing and documentation skills
Provide technical support for ongoing AI initiatives such as streamlining data processing workflows and supporting model validation processes, demonstrating problem-solving abilities and attention to detail
AI Governance and Best Practices
Help improve and operationalize the AI governance framework, ensuring adherence to best practices in model management and compliance, developing understanding of ethical AI deployment and regulatory requirements
Collaborate with team members to integrate AI models into broader system architectures, demonstrating strong collaboration skills and technical adaptability in complex system environments; as well as participate in knowledge-sharing sessions to enhance learning and contribute to the team's collective expertise, embodying SSG's values of openness and continuous learning
[What we are looking for]
- Relevant academic background or training in Computer Science, Artificial Intelligence, Engineering, Data Science or related field
- Experience with machine learning, deep learning, natural language processing, computer vision, or generative AI applications gained through academic studies, project work, or internship experience
- Familiarity with Python programming language and AI frameworks such as TensorFlow, PyTorch, or scikit-learn is advantageous
- Willingness to learn about cloud platforms (AWS SageMaker), MLOps practices, and containerization technologies (Docker, Kubernetes)
- Strong analytical and problem-solving skills, with curiosity for emerging technologies and innovative solutions
- Excellent communication skills with collaborative mindset to work effectively in teams
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