AI Architect - R01566870
Indexed description
Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
Consultant
Primary Skills
- AI, LLM, Snowflake/ Snowflake Cortex
- Data Science Advanced: Senior AI/ML Engineer
- AI Architect
- Location: Plainsboro, NJ
- work Type: Hybrid with min 4 days onsite per week
- Key: Looking for a AI Architect profiles rather than Senior/Lead Data Scientist profiles and with a Pharma/Life Sciences/Healthcare background, with Snowflake or Snowflake Cortex
- 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 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
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