Software Engineer-Model Registry

Job Title: Software Engineer-Model Registry
Job type: Permanent
Job Location: Italy/Remote
Company Overview:
Our client is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates have the flexibility to choose the work environment that suits their needs from in-office to fully remote to office-flex.

The Role:
Our client is looking for a highly motivated Software Engineer to join OpenShift AI and drive innovation in hybrid cloud MLOps. Focus on seamless model deployment with Kubeflow, enhancing Model Registry and Serving. Collaborate with open-source communities and cross-functional teams to build secure, scalable solutions integrating partner technologies. Passion for open source required!
What You Will Do:

• Contribute to the architecture, design, and development of the Model Registry project in Kubeflow and OpenShift AI.
• Innovate in the MLOps domain by participating in upstream communities such as Kubeflow, KServe, and ml-metadata.
• Develop new features and solutions for OpenShift AI.
• Implement CI/CD best practices to integrate solutions into OpenShift AI as part of productization efforts.
• Present at OpenShift/Kubernetes and AI/ML-related technology conferences and within the AI/ML communities of practice.

What You Will Bring:

• Experience with Go and/or Python programming languages.
• Ability to quickly learn and adapt to new tools and technologies.
• Proven experience with Kubernetes or OpenShift.
• Proficiency in building tools and shell scripting.
• Strong experience with source code management tools, such as Git.
• Solid understanding of systems and troubleshooting capabilities.
• Familiarity with how Open Source and Free Software communities operate.
• Excellent written and verbal communication skills, including good English proficiency.

Nice to Haves:

• Experience with core machine learning algorithms and libraries.
• Knowledge of React or C++.
• Previous experience with Kubeflow.
• Bachelor's degree or higher in computer science or a related discipline.
• Familiarity with the Prometheus monitoring stack.

If you are interested in this role or would like to discuss it further, please call Nidhi at +353 1 645 5244 or email [email protected].