Description

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

This role is on-site.

Responsibilities

• Develop and optimize AI computing workloads using the Ray framework.
• Implement NATS to augment or replace traditional messaging systems like Kafka.
• Leverage Trino 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 needs for data workloads.

Required Skills

• 2+ years of professional experience.
• Hands-on expertise with the Ray framework and ray.io.
• Experience implementing or managing Kafka.
• Proficiency in SQL.
• Experience working with Oracle Exadata.
• Knowledge of Trino for distributed SQL and data handling.
• Experience with NATS messaging systems.
• Any Graduate degree.

Key Skills

Education

Any Graduate