About the role
AI summarisedJoin A*STAR IHPC to bridge cutting-edge AI research with practical financial applications. This role involves engineering, integrating, and deploying advanced agentic AI systems and LLMs into secure, scalable, production-grade infrastructures for financial services clients.
ResearchOnsite
Key Responsibilities
- Collaborate with AI Scientists to translate research prototypes into scalable production systems.
- Maintain deployment pipelines for agentic AI and LLM-based solutions.
- Optimize system performance, latency, reliability, and cost efficiency of deployed AI systems.
- Implement monitoring, logging, evaluation, and alerting mechanisms for production AI deployments.
- Ensure compliance with enterprise-grade security, privacy, and governance standards in deployed solutions.
- Support testing, validation, and user acceptance processes alongside industry partners.
- Contribute to system architecture design, documentation, and deployment best practices.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI/ML, or related field.
- Strong hands-on experience with Python and modern ML frameworks (e.g., PyTorch).
- Proven experience deploying LLM-based or AI systems into production environments.
- Experience with MLOps pipelines, model monitoring, and observability tools.
- Solid understanding of software engineering best practices (CI/CD, version control, testing).
- Familiarity with cloud platforms (e.g., AWS, Azure).