לוח אפשרויות קריירה - הדרך החכמה להייטק

As a core ML engineer for one of our OpenShift AI teams, you will have the opportunity to design and build systems that monitor, validate, and improve AI model performance in production. You will work as part of an evolving development team to rapidly design, secure, build, test, and release new capabilities. The role is primarily an individual contributor who collaborates closely with other ML engineers, software developers, and cross-functional teams. You should have a passion for observability, MLOps, and building robust systems for real-world AI.

What you will do

Design and build observability and optimization tools for large-scale GenAI workloads running on Kubernetes

Develop systems to collect and analyze model performance metrics, logs, and resource usage in real-time

Innovate in the MLOps and AI observability domain by contributing to upstream communities

Collaborate with product, engineering, and research teams to improve model trust and performance

Write unit and integration tests and work with quality engineers to ensure product quality

Use CI/CD best practices to deliver solutions into RHOAI as part of our productization efforts

Contribute to a culture of continuous improvement by sharing technical knowledge and insights

Communicate effectively with stakeholders and team members to ensure visibility of ML performance

Represent RHOAI in external engagements including open source communities and customer meetings

Mentor and guide junior engineers and contribute to team growth