Data Scientist
Job Description
Required Skills
- Experience in AI/ML, Applied Data Science, or related fields.
- Advanced proficiency in Python (Pandas, NumPy, FastAPI, Async frameworks preferred).
- Strong experience with Git, GitHub workflows, and collaborative development.
- Hands-on with LLMs (GPT, Llama, Mistral, Claude, etc.) RAG pipelines, and embeddings.
- Proficient in LangChain, LlamaIndex, CrewAI, or similar agent frameworks.
- Experience building AI Agents and Multi-Agent Systems.
- Strong understanding of software scalability, distributed systems, and enterprise patterns.
- Practical knowledge of Azure cloud services or other major cloud providers.
- Familiar with Docker, APIs, microservices, and REST/GraphQL integrations.
- Exposure to MLOps, CI/CD, monitoring tools, and production workflows.
Desired skills
- Experience with MCP (Model Context Protocol) for agent-based tooling.
- Databricks, Spark, Delta Lake, and enterprise data platforms.
- Experiment tracking (MLflow), vector databases (Pinecone/FAISS), or Neo4j.
- Experience with autonomous workflow tools like n8n, Airflow, or Temporal.
Mandatory skills
Python, Pandas/Numpy/FastAPI, LLM, cloud Services, MLOps
Job Description - Grade Specific
Bangalore, IN