Data Scientist- Gen AI

The roleWe''re hiring a Data Scientist with strong Generative-AI experience to design, build, and ship AI-powered tools end-to-end. You''ll work in a small, multi-disciplinary team and take ownership from discovery to deployment: scoping use-cases, building prototypes, hardening them for production, and putting the right evaluation and governance around them. What you''ll do Build GenAI tools end-to-end (independently): chat/assistants, document Qandamp;A (RAG), summarisation, classification, extraction, and workflow/agent automations. Own evaluation andamp; safety: create offline/online eval sets, measure faithfulness/hallucination, bias, safety, latency and cost; add guardrails and red-teaming. Productionise: package as services/APIs or lightweight apps (eg, Streamlit/Gradio/React), containerise, and integrate via CI/CD. Data pipelines: design chunking/embedding strategies, pick vector stores, manage prompt/versioning, and monitor drift andamp; quality. Model strategy: select and mix providers (hosted and open-source), fine-tune where it''s sensible, and optimise for cost/perf/privacy. Stakeholder enablement: translate problems into measurable KPIs, run discovery, document clearly, and hand over maintainable solutions. Good practice: apply data ethics, security and privacy by design; align to service standards and accessibility where relevant. Tech you''ll likely use Python (pandas, PyTorch/Transformers), SQL LLM frameworks: LangChain, LlamaIndex (or similar) Vector ..... full job details .....