Establish robust evaluation frameworks (automatic + human-in-the-loop) to measure LLM outputs on factuality, reasoning, hallucinations, coverage, and safety.
Lead research and applied innovation around foundation model fine-tuning (instruction tuning, LoRA, adapters, PEFT, multi-task fine-tuning).
Mentor senior scientists / engineers, setting standards for model development, experimentation, and research rigour.
Partner with Product, Engineering, and Business stakeholders to deliver AI systems with measurable business impact.
Skill Sets Required :
Deep understanding of foundational LLMs (architectures, tokenization, pre-training vs fine-tuning, context window optimization).
Strong experience with RAG systems (vector DBs, hybrid retrieval, embeddings, ranking models).
Proven ability to design and implement evaluation pipelines.
(ref : hirist.tech)
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Data Scientist Generative Ai • Bangalore
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