Univedge Consulting LLC is seeking an AI Architect with a Pharma/Life Sciences background. The role focuses on developing and deploying machine learning solutions, requiring strong skills in data analysis and an understanding of Generative AI concepts.
Responsibilities:
- 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
- Experience with Snowflake data platform; exposure to Snowflake AI capabilities and Cortex services will be an added advantage
- 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