• Experience in Data Science, Machine Learning, Artificial Intelligence, or related fields, with strong proficiency in SQL and Python. (preferably SQL)
  Hands-on experience in data analysis, feature engineering, model development, evaluation, and deployment of machine learning solutions to solve business problems.
• Good understanding of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and emerging AI frameworks and protocols such as MCP.
• Ability to work with structured and unstructured data, build scalable AI/ML solutions, and collaborate with cross-functional teams to translate business requirements into data-driven outcomes.
• Strong problem-solving, analytical, and communication skills, with a demonstrated willingness and enthusiasm to learn new technologies, tools, and emerging AI/ML trends in a fast-evolving landscape.

Preferred Qualifications

• • Experience with Snowflake data platform; exposure to Snowflake AI capabilities and Cortex services is prefered
  • Familiarity with MLOps, model deployment, monitoring, and AI application lifecycle management.
  • Knowledge of data warehousing, data engineering concepts, and API integrations.
  • Exposure to GenAI application development, vector databases, semantic search, and AI orchestration frameworks.
  • With Lifesciences experience preferred