The Senior Data Scientist / ML Engineer role, based in Bengaluru, focuses on building predictive machine learning models for business use cases, productionizing them at scale, and advancing Generative AI proof‑of‑concepts into production‑grade applications while collaborating with engineering, product, and business teams.
Responsibilities
- Build predictive ML models for business use cases
- Productionize predictive models at scale
- Drive GenAI proof‑of‑concepts into production‑grade applications
- Collaborate across engineering, product, and business teams
Requirements
- 2+ years in Data Science/ML, with experience in time series forecasting, clustering, classification, regression, or boosting algorithms — ideally in Retail/CPG/CVM
- Strong Python and PySpark skills; SQL and Spark/Hadoop familiarity
- Experience deploying ML models on AWS, Azure, or GCP (SageMaker, Azure ML, or Databricks)
- Understanding of MLOps/CI‑CD (Azure DevOps or equivalent)
- Working knowledge of Generative AI — LLMs, Retrieval‑Augmented Generation (RAG), vector databases, agentic workflows (LangChain/LangGraph)
- B.Tech, M.Tech, or M.Sc in Computer Science, Mathematics, Statistics, or a related field
Nice to have
- Retail/CPG/CVM domain experience
- A/B testing experience
- Model explainability using SHAP
- Fine‑tuning techniques such as LoRA
- Multi‑agent orchestration
Additional details
- Location: Bengaluru
- Job title: Senior Data Scientist / ML Engineer
- Experience level: 2+ years
Zobhira
