
Senior Data Scientist
5 days ago
Job Description-
Designation: Data Science Developer / Senior Data Scientist
Location: Indore or Pune | Onsite
Skills Required
- Data Science, Machine Learning, Deep Learning, NLP
- Python, Flask, Numpy, Pandas, Scikit-learn
- SQL / Stream Processing, AWS Services (S3, Lambda, SageMaker, etc.)
- Generative AI (GenAI): LLMs (GPT, Claude, LLaMA, Mistral, etc.)
- Frameworks & Tools: LangChain, LangGraph, Vector Databases (Pinecone, Weaviate, pgvector), RAG pipelines
- Agentic AI Development: AI Agents, Orchestration, Multi-Agent Systems
- MCP (Model Context Protocol): Integration of external tools, APIs, and custom apps with LLMs
- Deployment & APIs: FastAPI / Flask for serving ML/GenAI models
- Git, CI/CD, Docker, Kubernete
Sr. Data Scientist Responsibilities
- Formulating, suggesting, and managing data-driven and GenAI-powered projects to further business interests.
- Collating, cleaning, and preparing structured/unstructured data for ML, DL, and LLM fine-tuning.
- Designing and deploying RAG (Retrieval-Augmented Generation) architectures and LLM-based applications.
- Building and managing AI Agents using LangChain/LangGraph for workflow automation.
- Experimenting with open-source and commercial LLMs (GPT, Claude, LLaMA, Mistral, etc.) for enterprise use cases.
- Delegating tasks to Junior Data Scientists and guiding them on best practices in ML, DL, and GenAI.
- Monitoring and mentoring teams; ensuring model performance, generalizability, and scalability.
- Selecting and employing advanced ML/DL/GenAI procedures to extract actionable insights.
- Producing non-technical reports and GenAI-driven dashboards for business decision-making.
- Suggesting ways to integrate insights and AI agents into core business strategies.
- Staying informed on cutting-edge advancements in AI/GenAI, Agentic AI, and MCP ecosystem to ensure relevance.
Sr. Data Scientist Requirements
- Advanced degree in Data Science, Statistics, Computer Science, or similar.
- Extensive experience in ML/DL/NLP and hands-on GenAI/LLM projects.
- Proficiency in Python, Numpy, Pandas, Scikit-learn, and SQL.
- Strong experience with LLMs, prompt engineering, fine-tuning, and RAG pipelines.
- Familiarity with LangChain, LangGraph, and AI Agent development.
- Experience with MCP for connecting models with external tools and services.
- Demonstrable history of end-to-end AI/GenAI project ownership.
- Outstanding supervision, mentorship, and cross-functional leadership abilities.
- Ability to foster a collaborative AI-driven culture within the team.
- Strong awareness of AI ethics, compliance, and data governance.
Job Type: Full-time
Pay: ₹968, ₹2,359,250.74 per year
Benefits:
- Flexible schedule
- Paid time off
- Provident Fund
- Work from home
Work Location: In person
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