SeniorFull TimeENAsia/Pacific
Job Title: Data Scientist
Job Description: • Design, build, and maintain production-grade AI systems using Large Language Models (LLMs) • Develop and implement RAG (Retrieval-Augmented Generation) architectures • Design effective prompting strategies , grounding techniques, and few-shot examples • Build vector search and hybrid retrieval pipelines with re-ranking and metadata filtering • Process unstructured data from PDFs, DOCX, HTML, and OCR sources • Perform data cleaning, normalization, and preparation for chunk-based retrieval workflows • Implement text-to-SQL workflows with schema-aware querying and guardrails • Build evaluation frameworks to measure retrieval relevance and response groundedness • Monitor latency, cost, reliability, and response quality in production systems • Manage prompt versioning, model deployments, and rollback strategies • Design conversational UX with citations, confidence indicators, and follow-up handling • Develop lightweight frontend applications using Flask • Capture and utilize user feedback for continuous improvement Required Skills: • Strong understanding of LLMs and RAG systems • Experience with vector databases and retrieval pipelines • Strong proficiency in SQL and data handling • Hands-on experience with Flask-based applications • Knowledge of LLMOps, prompt engineering, and AI evaluation techniques • Strong problem-solving, communication, and system design skills
