
Job Title: Data Scientist
Location: Bangalore (Hybrid/On-site depending on project needs)
About the Role
We are seeking a highly skilled Data Scientist to join our team in Bangalore. In this role, you will take ownership of data science components across client projects, build production-ready ML and GenAI-powered applications, and mentor junior team members. You will collaborate with engineering teams to design and deploy impactful solutions that leverage cutting-edge machine learning and large language model technologies.
Key Responsibilities
ML & Data Science
- Develop, fine-tune, and evaluate ML models (classification, regression, clustering, recommendation systems).
- Conduct exploratory data analysis, preprocessing, and feature engineering.
- Ensure model reproducibility, scalability, and alignment with business objectives.
GenAI & LLM Applications
- Prototype and design solutions leveraging LLMs (OpenAI, Claude, Mistral, Llama).
- Build RAG (Retrieval-Augmented Generation) pipelines, prompt templates, and evaluation frameworks.
- Integrate LLMs with APIs and vector databases (Pinecone, FAISS, Weaviate).
Product & Engineering Collaboration
- Partner with engineering teams to productionize ML/GenAI models.
- Contribute to API development, data pipelines, technical documentation, and client presentations.
Team & Growth
- Mentor junior data scientists and review technical contributions.
- Stay up to date with the latest ML & GenAI research and tools; share insights across the team.
Required Skills & Qualifications
- 4.5–9 years of applied data science experience.
- Strong proficiency in Python and ML libraries (scikit-learn, XGBoost, LightGBM).
- Hands-on experience with LLM APIs (OpenAI, Cohere, Claude) and frameworks (LangChain, LlamaIndex).
- Strong SQL, data wrangling, and analysis skills (pandas, NumPy).
- Experience working with APIs, Git, and cloud platforms (AWS/GCP).
Good-to-Have
- Deployment experience with FastAPI, Docker, or serverless frameworks.
- Familiarity with MLOps tools (MLflow, DVC).
- Experience working with embeddings, vector databases, and similarity search.

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Benefits
- A competitive annual salary based on experience and market demands
- Flexi-timings
- Medical insurance with the option to purchase a premium plan or HSA option for your entire family
- In-house Food & Refreshments
- Regular Health check-up camps arranged by the company
- Recreational activities
- Business casual atmosphere









