Description

You will manage and optimize AI computing workloads and distributed data architectures.

This role is on-site.

Responsibilities

• Develop and optimize AI computing across workloads using the Ray framework.
• Implement NATS to augment or replace traditional messaging systems.
• Leverage Trinio to improve performance, scalability, and integration with existing data tools.
• Offload historical data from Oracle Exadata to platforms supporting distributed SQL.
• Explore Ray.io to support distributed computing requirements for data.

Required Skills

• 5+ years of professional experience.
• Hands-on expertise with Ray.io.
• Experience implementing NATS.io.
• Proficiency with Trinio for distributed SQL and data structures.
• Experience managing workloads on Oracle Exadata.
• Strong SQL skills.
• Knowledge of AI computing architectures.
• Ability to work onsite in Charlotte, NC, 5 days per week.

Preferred Skills

• Experience migrating data from Exadata to distributed computing architectures.

Key Skills

Education

Any Graduate