The role focuses on building and deploying cutting-edge Generative AI models and Retrieval Augmented Generation (RAG) solutions to advance human progress in health sciences
Job Summary
The role focuses on building and deploying cutting-edge Generative AI models and Retrieval Augmented Generation (RAG) solutions to advance human progress in health sciences.
Candidates will be responsible for the entire lifecycle of data science projects, including design, implementation, evaluation, productionisation, and ongoing enhancement.
The company offers a comprehensive benefits package including health insurance, flexible working arrangements, subsidized meals, and wellness programs.
Matching Summary
The role focuses on building and deploying cutting-edge Generative AI models and Retrieval Augmented Generation (RAG) solutions to advance human progress in health sciences.
Skills & Requirements
Must-have
Generative AI model development
Retrieval Augmented Generation (RAG) optimization
Natural Language Processing (NLP)
Python programming proficiency
Transformer models fine-tuning
AI agent management tools
Nice-to-have
Java programming experience
AWS Bedrock or Azure cloud platforms
Mentoring junior data scientists
Multilingual content ingestion
Model Context Protocol (MCP)
Key Requirements
Bachelor or Master's degree in Computer Science or related field
3+ years of applied experience in Data Science
Proficiency in Python for model development and deployment