L3 Data Scientist - Generative AI

Key Responsibilities :

• Lead the development of robust ML models across supervised, unsupervised, and time-series problem statements.
• Architect and own scalable data pipelines for feature engineering, model training, evaluation, and monitoring.
• Apply advanced experimentation, error analysis, and model optimization techniques to achieve business KPIs.
• Design and implement GenAI-powered applications such as copilots, document processors, summarization agents, and intelligent assistants.
• Build complex workflows leveraging prompt engineering, RAG pipelines, context management, and hybrid model chaining.
• Lead fine-tuning initiatives using instruction tuning, LoRA, QLoRA, PEFT, or full-model fine-tuning for domain-specific use cases.
• Evaluate trade-offs across open-source and API-based LLMs for performance, cost, and latency optimization.
• Partner with engineering, product, and business teams to shape technical direction and translate insights into deployable solutions.
• Contribute to PoC development, client workshops, and pre-sales discussions as a technical SME.
• Mentor junior and mid-level data scientists, review deliverables, and ensure adherence to MLOps and experimentation best practices.
• Lead internal sessions on the latest advancements in ML / LLM ecosystems and drive innovation within the data science function.

Qualifications & Skills :

GenAI & LLMs :

Technical Focus Areas :

(ref : hirist.tech)