At OCBC Indonesia, we build and operate AI-powered products that support thousands of bankers and customers every day. We're looking for a Data Scientist who is passionate about building production-grade AI solutions and shaping the future of intelligent banking.
Work Arrangement
- Full Work From Office (WFO)
- Location: OCBC Indonesia BSD Office, Tangerang
What You'll Do
- Own end-to-end AI and LLM systems—from solution design and development to deployment, monitoring, and continuous improvement.
- Build and maintain evaluation frameworks that drive product quality, including offline evaluations, A/B testing, and production monitoring.
- Optimize LLM inference using technologies such as vLLM, prompt optimization frameworks, and model fine-tuning techniques (LoRA/QLoRA).
- Design and develop scalable ML and LLM applications, including RAG pipelines, agentic workflows, and AI automation solutions.
- Partner closely with Product, Risk, Compliance, and Engineering teams to solve real-world banking challenges using AI and data science.
- Translate complex technical concepts and trade-offs into clear, actionable recommendations for business stakeholders.
What We're Looking For
- 7+ years of experience building and deploying machine learning or AI solutions in production environments.
- Hands-on experience delivering at least one LLM, RAG, or Generative AI application to production.
- Strong proficiency in Python and modern ML/AI development frameworks.
- Experience designing and executing model evaluation strategies that directly influenced product or business decisions.
- Strong communication skills with the ability to explain technical concepts to cross-functional stakeholders.
- Curious, collaborative, and passionate about learning emerging AI technologies.
Nice to Have
- Experience in banking, financial services, or fintech.
- Experience serving high-throughput LLMs using vLLM or similar inference frameworks.
- Hands-on experience with prompt optimization techniques such as GEPA, DSPy, or similar frameworks.
- Experience fine-tuning LLMs using LoRA/QLoRA, particularly for financial or regulated use cases.
- Familiarity with MLOps, LLMOps, observability, and production monitoring tools.
Application Note
Please apply only if your experience closely matches the qualifications outlined above. Due to the specialized nature of this role, only candidates whose backgrounds closely align with the requirements will be shortlisted and contacted.
