Data Scientist

Actively Reviewing the Applications

Aditi Consulting

India, Karnataka, Bengaluru Contract On-site

Posted 2 months ago • Apply by April 29, 2026

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 (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).
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.