JD: Senior Data Scientist / ML Engineer
Experience: 2+ years | Location: Bengaluru
Role: Build predictive ML models for business use cases, productionize them at scale, and drive GenAI POCs into production-grade applications — collaborating across engineering, product, and business teams.
Must-Have:
- 2+ yrs in Data Science/ML, with time series forecasting, clustering, classification, regression, or boosting algorithms — ideally in Retail/CPG/CVM
- Strong Python/PySpark; SQL and Spark/Hadoop familiarity
- ML deployment on AWS/Azure/GCP (SageMaker, Azure ML, or Databricks)
- MLOps/CI-CD understanding (Azure DevOps or equivalent)
- Working knowledge of GenAI — LLMs, RAG, vector databases, agentic workflows (LangChain/LangGraph)
Good to Have: Retail/CPG/CVM domain, A/B testing, model explainability (SHAP), fine-tuning/LoRA, multi-agent orchestration
Education: B.Tech/M.Tech/M.Sc in CS, Math, Statistics, or related field