Senior GenAI Data Scientist

Senior GenAI Data Scientist

Location: Bangalore

Work Model: Hybrid / Remote

Experience: 8+ Years

Budget: Up to 35 LPA

Employment Type: Contract-to-Hire (C2H)

Notice Period: Immediate to 30 Days

We are hiring an experienced Senior GenAI Data Scientist with strong expertise in Large Language Models (LLMs), LLaMA, Agentic AI, and advanced Machine Learning solutions.

This role is ideal for professionals with strong hands-on experience designing, developing, and deploying scalable AI/ML and Generative AI solutions for large-scale, fragmented, and unstructured enterprise datasets.

Important: This is a Contract-to-Hire opportunity. Candidates must be comfortable working on a third-party payroll arrangement.

Key Responsibilities:

Research, design, and implement advanced Machine Learning and Generative AI solutions

Build robust Python-based data pipelines for ingestion, transformation, and feature engineering

Develop and optimize Retrieval-Augmented Generation (RAG) pipelines

Fine-tune Large Language Models and optimize embeddings for improved model performance

Design and implement Agentic AI workflows and autonomous AI orchestration frameworks

Work with large databases, data warehouses, and ambiguous multi-source enterprise data

Deploy scalable AI/ML solutions on Azure cloud using MLOps best practices

Conduct experimentation, A/B testing, and performance optimization

Collaborate with engineering teams for model productionization, deployment, and monitoring

Drive continuous improvement through metrics-driven optimization

Ensure Responsible AI, LLM security, prompt engineering, and governance best practices

Required Qualification

• 8+ years of Data Science / AI / Machine Learning experience
• Strong hands-on experience with Generative AI
• Strong expertise in Large Language Models (GPT / Gemini / LLaMA)
• Strong hands-on Agentic AI implementation experience
• Deep experience with RAG architectures
• Prompt Engineering expertise
• Python, PySpark, SQL, T-SQL
• Big Data technologies (Spark / Hadoop)
• LangChain / HuggingFace / OpenAI APIs
• Azure cloud ecosystem (Databricks / Azure ML Studio / Azure Foundry)
• AWS Bedrock exposure
• MLOps / CI-CD / GitHub Actions
• Containerization experience
• LLM security & Responsible AI practices

Mandatory Requirements

Strong hands-on GenAI and Agentic AI implementation experience

Leadership experience managing AI / Data Science teams

Notice period within 30 days

Comfortable with Contract-to-Hire employment model

We are looking for professionals who can combine deep technical expertise with innovation and practical AI deployment at scale.