Machine learning Engineer

• 2+ years of experience in Kubernetes
• 2+ years of professional software development experience
• 1+ years of programming experience with Python.
• Kubernetes Administrator certificate is a plus
• Experience with HELM charts
• Familiarity with Git and GitOps
• Continuously keeps up-to-date with new technologies, methodologies, and industry best practices related to MLOps and Kubernetes
• Strong written and verbal communication skills, with the ability to document and present technical information effectively
• Collaborative - able to build strong relations that enable robust debate and discussions.
• Comfortable explaining principles and common problems to audiences without a technical background

Potential:

• Experience developing, implementing, and maintaining CI-CD pipelines, preferably with exposure to tools like GitLab CI or Github Actions
• Experience with cloud-native tools and technologies for streamlining, improving, and securing MLOps workflows on Kubernetes
• Experience in deploying ML solution coded by others
• Familiarity in MLOPs concept
• Familiarity with data operations on Kubernetes, using tools like Argo Workflow, Kubeflow, Airflow, or MLflow (All Plus)