Senior Software Engineer - OpenShift AI & MLOps

Key Skills

Docker, Effective communication skills, Git, Jupyter Notebook, Kubernetes-K8s, Linux Operating system, Machine learning techniques, Management, Python Programming, Software Development

Job Description

About the job

Do you want to be part of a team that is focused on scaling the deployment, prompt-tuning, and monitoring of Foundation Models? The OpenShift AI team is looking for a Senior Software Engineer with Kubernetes and Machine Learning experience to join our rapidly growing engineering team. Our team’s focus is to make machine learning model deployment and monitoring seamless and scalable across the hybrid cloud and the edge. This is a very exciting opportunity to build and impact the next generation of hybrid cloud MLOps platforms. 

In this role, you'll contribute to the model serving and explainability features of the open source Open Data Hub project by actively participating in KServe, TrustyAI, Kubeflow, HuggingFace, and several other open source communities. You will work as part of an evolving development team to rapidly design, secure, build, test, and release model serving, explainability, and accelerator capabilities. The role is primarily an individual contributor who collaborates closely with other developers and cross functional teams. You will need to have a passion for working in open source communities and for developing reference architectures that integrate Red Hat, open source, and partner technologies into a cohesive platform. To find an example of a recently trained and deployed code generation model with OpenShift AI, please see this Ansible Lightspeed demo.

This position can be remote and we will be considering candidates mainly from locations such as Spain, Italy, Portugal, Czech Republic, and Poland. 

What you will do

• Develop and maintain features for Open Data Hub and Red Hat OpenShift AI
• Use CI/CD best practices to develop and deliver solutions
• Participate in several machine learning related upstream communities to ensure the technologies work on OpenShift and can be integrated with Open Data Hub
• Work with the Open Data Hub community to evaluate new AI, ML, and big data technologies from partners and create examples of integrations between their technology and Open Data Hub
• Integrate new open source Machine Learning and big data components into Open Data Hub and Red Hat OpenShift Data Science
• Present at Kubernetes, and AI/ML related technology conferences and internally within the AI/ML community of practices

What you will bring

• Ability to quickly learn and use new tools and technologies 
• Passion for writing and maintaining reliable code in Go and Python
• Strong Experience with Kubernetes and Docker
• Experience with source code management tools such as Git 
• Proven experience with the Linux operating system 
• Excellent system understanding and troubleshooting capabilities 
• Solid innovation skills and a passion for technology 
• Ability to work on your own in a fast-paced, ever-changing environment

• Excellent written and verbal communication skills; fluent English language skills

The following will be considered a plus

• Bachelor's degree in statistics, mathematics, computer science, operations research, or a related quantitative field, or equivalent expertise; Master’s or PhD
• Solid experience in Java development
• Experience with Jupyter notebooks, model serving, and popular MLOps tools 
• Familiarity with Kubernetes, Operator Framework and Patterns, Docker, and Helm Charts
• Familiarity with development in Rust
• Familiarity with popular Python machine learning libraries

For more information on what you would be working on/with, please visit these links:

https://opendatahub.io/ 

https://www.redhat.com/en/engage/project-wisdom 

https://github.com/kserve 

https://github.com/trustyai-explainability

https://github.com/kubeflow/ 

https://github.com/huggingface/text-generation-inference

https://www.youtube.com/watch?v=9Zvuz9r9bc4

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