Offer summary

Qualifications:

Background in ML, 2+ years experience in Generative AI, Strong skills in Elastic Search and Python for Data Science, Familiar with RAG and vector databases.

Key responsabilities:

Develop and optimize NLP models

Implement Retrieval-Augmented Generation (RAG) pipelines

Collaborate with cross-functional teams

Analyze search relevance based on user behavior

Job description

Title: Data Scientist
Location: Remote
Type: Contract
Duration: 6 months (with possible extension)

Description:

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.