O
Data Scientist
OCBC · Pagedangan, Banten, Indonesia
10 h ago
Mid (2-5 yrs)
Full-time
Indonesia
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About the role
Design, build, deploy, and monitor production AI systems and LLM workflows end-to-end. Collaborate with product, risk, and compliance teams to apply data science techniques to banking scenarios.
What they look for
Python
Machine Learning
Artificial Intelligence
LLM
RAG
vLLM
LoRA
QLoRA
Prompt Optimization
Data Science
Credit Risk
Regulatory Compliance
A/B Testing
Inference Optimization
Stakeholder Management
Requirements
Requires 3+ years of experience building ML or AI systems, including at least one production-level LLM or RAG system. Strong Python fundamentals and the ability to translate technical trade-offs for non-technical stakeholders are essential.
Full description
What you'll do:
- Own production AI systems and LLM workflows end to end: design, build, deploy, monitor
- Build the evaluation layer that decides what ships: offline evals, A/B tests, live monitoring
- Optimize inference with vLLM, prompt optimization frameworks, and fine-tuning (LoRA/QLoRA)
- Work alongside experienced teams in Product, Risk, and Compliance to apply data science techniques to real-world banking scenarios, including credit risk and regulatory compliance.
We’re looking for curious and eager-to-learn candidates who are:
- Having 3+ years experiences on building ML or AI systems, including at least one LLM or RAG system you took to production
- Skilled in translating technical trade-offs into actionable insights for non-technical stakeholders (for example: Product, Risk, CX, and Compliance)
- Strong Python fundamentals
- Proven experience in conducting evaluations that directly influenced key product decisions
Bonus points (not required):
- Banking or fintech background
- High-throughput LLM serving with vLLM
- GEPA or similar prompt optimization in practice
- Fine-tuning for financial use cases
