Brillio 2 AI Architect role requiring expertise in data science, machine learning, and AI with proficiency in SQL and Python. Responsibilities include model development, evaluation, deployment, and collaboration with cross-functional teams.
Responsibilities
Experience in Data Science, Machine Learning, Artificial Intelligence, or related fields, with strong proficiency in SQL and Python. (preferably SQL)
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.
Qualification
Experience with Snowflake data platformFamiliarity with MLOpsKnowledge of data warehousingWith Lifesciences experience preferredLifesciences experience
Required
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
Preferred
Experience with Snowflake data platform and Snowflake AI capabilities
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
