Data Scientist II

About the role

We are seeking a Data Scientist II with experience in both classical machine learning (regression, classification, predictive modeling) and modern AI systems (LLMs, Generative AI and agentic frameworks). The role requires strong applied modeling skills across structured and unstructured data, and experience deploying models into production environments.

What you'll do

• Develop and deploy AI solutions across ML and other genAI use cases
• Design, build, validate and optimize predictive models including regression, tree-based models, ensemble methods
• Develop and deploy LLM-based and Generative AI solutions , including retrieval-augmented generation (RAG), prompt engineering , fine-tuning and agentic workflows
• Build multi-agent systems and tool-integrated AI solutions for analytics automation, insight generation and conversational interfaces
• Apply statistical analysis, hypothesis testing and experimental design (including A/B testing) to inform business decisions

What you need

• 3–6 yrs of experience
• Machine learning
• LLMs
• Python
• Statistics
• Prompt engineering
• MLOps
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• AWS
• Databricks
• CI/CD
• GCP
• Azure
• Deep learning