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Data Scientist

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

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
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NR Consulting Information Technology & Services Large https://nrconsulting.com/
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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.

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.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration

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