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Jobs or company...

Data Scientist

Salary undisclosed

Apply on

Dice
Original
Simplified

MUST HAVE

  • RAG
  • SEARCH
  • VECTOR DBs
  • TEXT
  • GEN AI
  • NLP
  • LLM

Role Description:

  • 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

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.

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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