Description

- Experience: 10–15 years
  - Education: Master’s or Ph.D. in Data Science
  - Background: Strong foundation in Data Engineering and Data Science (a combination of Data Expertise with some AI/ML, rather than pure AI)
  - Core Skills:
      - Modeling & LLMs: Data modeling, LLMs, model training, and fine-tuning LLMs
      - Cloud Platform (Must-Have): AWS (AWS Glue, Redshift, S3)
      - Database & Querying: SQL, PL/SQL (Stored Procedures), PostgreSQL
      - Programming & Scripting: Python
      - Specialized Skills: Apache Pinot (Must-have)Data Architect

Key Skills

Education

Bachelor's degree