Data Science & Gen AI Lead | 8+ YOE | Gurgaon | WFO

1. Models in production

* Build, train, tune and deploy ML and deep learning models using TensorFlow or PyTorch and scikit-learn.

* Own model evaluation, optimisation, monitoring and governance - robustness, fairness, drift and scale, not just offline accuracy.

* Do the unglamorous work well: preprocessing, wrangling and feature engineering with pandas and NumPy.2. GenAI and LLM applications

* Develop GenAI applications - conversational agents, summarisation, RAG pipelines, document intelligence.

* Design retrieval and prompting strategies that hold up on messy enterprise data - and recognise when fine-tuning is the better answer.

* Instrument outputs so quality is measurable rather than anecdotal.3. Pipelines and engineering rigour

* Partner with data engineering to design scalable data and model pipelines for training and inference.

* Enforce reproducibility, testing and code quality across the team's work.4. Leadership and communication

* Mentor data scientists, run technical reviews and promote coding excellence.

* Present findings and AI strategy to non-technical stakeholders in language that drives a decision.