6+ yrs building ML/AI in production, deep in model traininggenAI or classical (at least one; both preferred)—with 3+ yrs leading or tech-leading.
Fine-tuning/PEFT, transfer learning, RLHF, prompt tuning; evaluation and experiment tracking.
Solid probability and statistical inference—distributions, Bayesian methods, significance, calibration, experiment/A-B design; and sound handling of skewed/imbalanced data (resampling, class weighting).
Some MLOps— deploy/serve/monitor (SageMaker, MLflow, Docker; vLLM/Triton a plus).
MS/PhD in CS/Stats preferred.
Fluent in Python/Jupyter, PyTorch, Hugging Face; SQL/Postgres (pgvector), a vector store, a warehouse (Snowflake/BigQuery); Spark or Ray; Airflow/dbt.
Shipped many models in a large org; robust written and verbal communication skills (tech blogs, publications, talks at meetups/conferences).

Bonus—GenAI product experience (e.g. enterprise RAG bot); text, voice and vision (VLM) models; startup / rapid-paced background.

📌 Senior Data Scientist Bengaluru (India)
🏢 SKILLVENTORY
📍 India