Description

You will design and implement AI/ML models and algorithms within enterprise and cloud environments.

Responsibilities

• Translate business and QE requirements into scalable AI solutions.
• Lead the architecture and design of AI systems and model governance.
• Design and implement data architectures and ETL strategies.
• Manage model risk frameworks and ensure system integrity.
• Collaborate with cross-functional teams to drive technical direction.

Required Skills

• 5+ years of experience in enterprise or cloud-based data and services development.
• Proficiency in Python, Java, and Scala.
• Hands-on experience with Databricks and Azure data services.
• Strong expertise in SQL and relational databases including Oracle, Postgres, and SQL Server.
• Deep understanding of data engineering technologies and data modeling tools.
• Experience with ETL strategies and data architecture design.
• Knowledge of AI systems, model governance, and risk frameworks.
• Any Graduate degree.

Key Skills

Education

Any Graduate