Data Scientist - Gen AI, NLP, Databricks
India, Remote
Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a secure, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.
Tasks/ Responsibilities:
Implementing end-to-end Gen AI powered RAG & multi-agent systems: Providing guidance on system architecture & components Building TTD system components: LLM Agents LLM Agents setup & prompt engineering / prompting strategies Routing State management Vector stores and more generally context providing Rerankers Validation and assessment rules Supporting project delivery: Running end-to-end initiative (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)



Analyzing and interpreting the findings Delivering high quality technical solution to the customer Drawing conclusions and recommendations- including expected benefits What We're Looking For:
Must Have:
Familiarity with theory behind various deep learning concepts Experience with Machine Learning (ML), especially in the area of Generative AI (LLM/LMM) with focus on Natural Language Processing (NLP) or multimodal models. Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment Fluency in Python and object programing, working knowledge of SQL and vector database Solid experience with Databricks is a must Knowledge of specific Deep Learning and Gen AI libraries like: Num Py, Py Torch, Hugging Face, Lang Chain, Lang Graph and Gen AI APIs i.e. Open AI/Gemini/Claude Nice to Have:
Experience in working with Azure or GCP will be a plus Commercial experience proven by multiple s

📌 Data scientist (India)
🏢 Lingaro
📍 India