Required Skills

Data Scientist

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 9th Jul 2025

JOB DETAIL

As a Senior Data Scientist, you will play a pivotal role in the development and deployment of cutting-edge Generative AI models and solutions. You will be responsible for building, testing, and maintaining our Generative AI, Retrieval Augmented Generation (RAG) and Natural Language Processing (NLP) solutions. This includes evaluating their performance and implementing guardrails to ensure ethical and responsible use of AI technologies. You will engage in the entire life cycle of data science projects, including design, implementation, evaluation, productionalize and ongoing enhancement. Your deliverables will include efficient, production-ready Python code, with experience in Java considered an asset. You will collaborate closely with Subject Matter Experts (SMEs) and the technology team to deploy and operationalize our data science pipelines.  

 This role requires a strong foundation in Natural Language Processing (NLP), Machine Learning, Transformer models and Generative AI, as well as proficiency in Python. An understanding of the healthcare sector is preferred.  

  Responsibilities

  • Collect data, perform data analysis, develop models, define quality metrics, and conduct quality assessments of models, along with regular presentations to stakeholders.
  • Create production-ready Python packages for each component of data science pipelines (e.g., pre-processing, model inference, evaluation) and coordinate their deployment with the technology team.
  • Design, develop, and deploy Generative AI models and solutions that meet specific business needs.
  • Build and optimize search applications using RAG pipelines.
  • Fine-tune large language models (LLMs) and transformer models to enhance accuracy and relevance.

Company Information