REMOTE MLOps Engineer

We are looking for an MLOps Engineer to join a Data Science project. You will support our engineering team as well as implement cloud architectures as designed by the cloud architects. Moreover, you will maintain the project-specific cloud accounts, including compliance requirements (cloud security findings), cost optimization, and user access management. Further tasks would be to work on the CI/CD pipelines in github and build Kubeflow pipelines.

Job details:
• Start: Asap
• Duration: 31.12.2024 (extension)
• Full-time: (5 days/week)
• Location: Remote (100%)
• Language: German OR English

MUST required experience:
• Cloud (AWS, Azure):
- AWS (cloud architecting, engineering) >= 2 years
- Azure (Cloud architecting, engineering) >= 1 year
- Cloud security
- Cost optimization
• MLOps:
- Kubeflow
- MLflow
• Devops
- Git
- Github Actions for CICD
- Docker
- Kubernetes
- IaC: Terraform, Cloudformation
• Software engineering: > 3 years
• Python: > 3 years
• Databricks
• Data Science: basic understanding
• Machine learning frameworks:
- Pytorch
- Tensorflow
- Scikit-learn

If all the above-mentioned must-have requirements are not met, we unfortunately cannot consider your application.

Are you interested or do you have someone in your network, who could be? We will be happy to have a discussion.

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