Data Scientist

• Background in ML and at least 2 years of experience in Generative AI.
• Must have skills : Elastic Search, Generative AI Fundamentals (Strong), Python for Data Science (Strong), RAG, Vector Illustration Good to have skills:
• Data Scientist with ~6+ years of expertise in Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI (GenAI).
• The ideal candidate will have hands-on experience with search-related work, including relevance tuning, text classification, and topic modeling.
• Additionally, experience in building Retrieval-Augmented Generation (RAG) pipelines for search and chat applications is highly desired. Key Responsibilities:
• Develop and optimize NLP models for text classification, text clustering, topic modeling, and relevance tuning in search.
• Work with LLMs to build advanced generative AI solutions for search and chat applications.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines to improve search and conversational AI systems.
• Collaborate with cross-functional teams to deploy data-driven search enhancements and GenAI solutions.
• Analyze and fine-tune search relevance based on user behavior and search intent from querylog.
• Occasional travel to the client location is required.
• Candidates might need to overlap with offshore on need basis.

Qualifications:

• Experience in running and fine-tuning models from Hugging face
• Familiarity with building and deploying RAG pipelines
• Familiarity with vector databases like Elasticsearch, Pinecone, etc.
• Strong programming skills (e.g., Python, TensorFlow, PyTorch, SQL)
• Experience in model deployment & MLOps is a plus
• Experience with cloud platforms (AWS) is a plus