Agentic AI data Scientist

AI Data Scientist (GEN AI +Agentic AI)

Location - Banaglore/Pune/Gurugram/Noida

Experience - 5 to 10 years

IMMEDIATE JOINERS

Role Overview:

We are seeking a highly motivated and skilled AI Data Scientist with a strong background in data science, Natural Language Processing (NLP), and/or Computer Vision. In this role, you will be responsible for developing advanced AI models using deep learning and machine learning techniques to solve complex problems. Your expertise in NLP or Computer Vision will be instrumental in enhancing our AI-driven solutions.

Key Responsibilities & Skillsets:

• Design and deploy sophisticated agentic workflows using AWS Bedrock Agents and frameworks like LangGraph or CrewAI.
• Work with large datasets to extract insights, build predictive models, and optimize AI algorithms.
• Architect "fail-safe" systems that include human-in-the-loop (HITL) triggers, automated error recovery, and fallback logic to ensure business continuity.
• Implement and optimize RAG (Retrieval-Augmented Generation) pipelines using Vector Embeddings, Vector Caching, and Knowledge Bases for Amazon Bedrock.
• Utilize Model Context Protocol (MCP) to connect AI agents with external data sources, tools, and legacy AWS environments.
• Mitigate data leakage risks and implement rigorous model output traceability and auditability logs to meet compliance standards.
• Research and stay up-to-date with the latest advancements in Gen AI to apply innovative solutions.
• Communicate findings and results to non-technical stakeholders and provide actionable insights.
• Build automated monitoring for agentic flow performance, cost, and latency, utilizing AWS CloudWatch and custom telemetry.
• Ensure data privacy and security practices are upheld throughout the AI development process.

Candidate Profile:

• A Master's or Ph.D. in a related field, such as Computer Science, Data Science, or a similar discipline.
• Strong experience in data science, Gen AI Agentic model development and deployment.
• Proficiency in Python, Postgres, Git and Vector database.
• Expert-level proficiency in Amazon Bedrock, Amazon SageMaker, and AWS Lambda.
• Deep understanding of Graph Networks (Amazon Neptune) and their application in enhancing agent reasoning and RAG accuracy.
• Excellent problem-solving skills and the ability to work on complex AI projects.
• Strong communication skills to convey technical concepts to non-technical team members.
• Experience with frameworks and tools such as - PyTorch, LangChain, LangGraph, Github Actions.
• Knowledge of data preprocessing, PDF processing, RAG evaluation and CI/CD pipeline.
• Familiarity with cloud platforms and big data technologies is a plus.