Description

You will build, test, and validate data science models and Gen AI projects using various LLMs.

This role is on-site.

Responsibilities

• Build and test data science models and Gen AI projects using various LLMs.
• Automate ETL processes to ensure data quality across cloud and on-prem environments.
• Monitor, review, and manage technical operations and troubleshooting.
• Guide developers and automation teams through debugging and root cause analysis.
• Own tasks from inception to completion with minimal supervision.

Required Skills

• 5+ years of experience in data science or engineering roles.
• Strong proficiency in Python for data processing and machine learning.
• Hands-on experience with AWS tools including S3, Glue, and Redshift.
• Experience managing ETL processes.
• Proficiency with CI/CD practices using GitLab.
• Expertise in code debugging and root cause analysis.
• Ability to collaborate with cross-functional teams.

Preferred Skills

• Degree in any field.

Key Skills

Education

Any Graduate