Description

You will design and implement AI/ML models and algorithms within enterprise and cloud environments, translating business requirements into scalable solutions.

This role is remote.

Responsibilities

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

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.

Preferred Skills

• Graduate degree in Computer Science, Engineering, or a related field.

Key Skills

Education

Any Graduate