Data Science Practitioner

About the role

Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. AI Engineer / Data Scientist – NLP & Generative AI

What you'll do

• Design, fine-tune, and optimize prompts for production LLM features (summarization, classification, sentiment, Q&A, translation, knowledge-gap analysis)
• Build agentic workflows (e.g., CrewAI, LangChain, LangGraph, or equivalent) to orchestrate RAG pipelines and multi-step evaluation/validation tasks
• Apply classical NLP techniques (clustering, sentiment analysis, NER, topic modeling, text classification) using transformer models alongside LLMs where appropriate
• Develop and deploy real-time inference APIs to serve AI features to production applications at scale
• Integrate speech-to-text and text-to-speech capabilities for conversational/simulation use cases

What you need

• 6–7 yrs of experience
• Machine learning
• Statistics
• SQL
• NLP
• LLMs
• Python
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• Power BI
• Prototyping
• Tableau
• Prompt engineering
• AWS
• Azure