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Job Description
- 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 (e.g., 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. 1-2 years hands-on experience in Snowflake is sufficient.
- LLMs Used: Azure AI (GPT-4, GPT 4.2), exploring Gemini Pro. Traditional models include Llama-based models (e.g., 70 billion parameters).
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- Data Sources: Primarily Snowflake data lake, potentially Azure and AWS S3.
- Financial Background: Good to have experience in financial or regulated industries, or an understanding of finance-related business questions.
- Testing: Basic unit testing and generation of unit test cases are required.
#AditiConsulting
#26-00546
Skills
PythonSnowflakeAimlAiMlData ScientistIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
Important dates & deadlines?
Application Deadline
01 Apr 26, 03:42 PM IST
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