Job Description
Required Skills/Experience:
Core Skills: Experience delivering AIML production systems, conversational AI, LLMs, GPT models. Programming: Python and AIML libraries. Cloud/Platforms: Azure AI, Snowflake. Key Concept: Agent workflow – automating tasks by chaining AI agents (, for recruitment sourcing). Traditional ML: Ability to build, train, and deploy custom ML models. Vector Database: Hands-on experience with vector databases for semantic search and efficient data retrieval in RAG implementations. Snowflake Cortex: Strong experience in Snowflake, specifically Snowflake Cortex for building internal UIs and applications. - years hands-on experience in Snowflake is sufficient. LLMs Used: Azure AI (GPT-, GPT , exploring Gemini Pro. Traditional models include Llama-based models (, billion parameters). Data Sources: Primarily Snowflake data lake, potentially Azure and AWS S. Financial ...
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