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What you will do
Contribute to architecture, design, and development of Model Registry project in Kubeflow and OpenShift AI.
Innovate in the MLOps domain by participating in upstream communities such as Kubeflow, Kserve, ml-metadata
Participate in the development of new features and solutions for OpenShift AI
Use CI/CD best practices to deliver solutions as productization efforts into OpenShift AI
Present at OpenShift/Kubernetes, and AI/ML-related technology conferences and internally within the AI/ML communities of practice
What you will bring
Working experience with the Go programming language
Working experience with Python programming language
Ability to quickly learn and use new tools and technologies
Experience with core AI/ML algorithms and libraries and MLOps
Experience with Kubernetes and Docker
Experience with build tools and shell scripting
Good experience with source code management tools such as Git
Good system understanding and troubleshooting capabilities
Understanding of how Open Source and Free Software communities work
Excellent written and verbal communication skills; fluent English language skills
Nice to Haves
Knowledge of Prometheus monitoring stack
Experience with React would be a huge plus.
Experience with Kubeflow would be a plus.
Working experience with other model registry solutions (e.g.: MLFlow, Azure Model Registry) would be a plus
Experience with C++ would be a plus.
Bachelor's degree or higher in computer science or other related discipline
The salary range for this position is $90,480.00 - $144,660.00. Actual offer will be based on your qualifications.
Pay Transparency
● Comprehensive medical, dental, and vision coverage
● Flexible Spending Account - healthcare and dependent care
● Health Savings Account - high deductible medical plan
● Retirement 401(k) with employer match
● Paid time off and holidays
● Paid parental leave plans for all new parents
● Leave benefits including disability, paid family medical leave, and paid military leave
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