Junior Generative AI Data Scientist (5+ Years Experience)

Overview

Junior Generative AI Data Scientist (5+ Years Experience)

Overview

Seeking a Junior Generative AI Data Scientist to develop and deploy AI/ML solutions in the pharmaceutical domain. The role involves building models, data pipelines, and production-ready AI solutions under senior guidance. Experience with ML, NLP, LLMs, Generative AI, and GCP is required.

Key Responsibilities

• Develop and optimize ML/Generative AI solutions for pharma use cases.
• Build and maintain data pipelines using GCP services.
• Implement RAG pipelines and integrate models via APIs (FastAPI).
• Deploy and monitor models in production with MLOps best practices.
• Perform data cleaning, feature engineering, and exploratory analysis.
• Collaborate with engineers and stakeholders to deliver high-quality solutions.
  
  

• 5+ years in data science, ML, or AI roles; Bachelor’s in a relevant field (Master’s preferred).
• Proficient in Python, ML/NLP libraries, and cloud platforms (GCP preferred).
• Knowledge of LLMs, Generative AI, API development, and MLOps pipelines.
  
  

• Pharma/life sciences experience, vector databases, Docker, Jenkins, and Agentic AI interest.