Projektbeschreibung:
You will be working in a data science project as an MLOps Engineer and you will:
- Provide engineering (mlops, devops, cloud etc.) support to the project team
- Implement cloud architectures as designed by our cloud architects
- Maintain the project specific cloud accounts e.g. by including compliance requirements (cloud security findings), cost optimization, user access management etc.
- Develop and maintain project CICD pipelines in github
- Establish and maintain best practices (coding, cloud, devops, mlops) among the team
- Build and maintain Kubeflow pipelines in cooperation with the Data Scientists working in the project
Must-have:
- Cloud (AWS, Azure):
a. AWS (cloud architecting, engineering) >= 2 years
b. Azure (Cloud architecting, engineering) >= 1 year
c. Cloud security
d. Cost optimization
- MLOps:
a. Kubeflow
b. Mlflow
- Devops
a. Git
b. Github Actions for CICD
c. Docker
d. Kubernetes
e. IaC: Terraform, Cloudformation
- Software engineering: > 3 years
- Python: > 3 years
- Databricks
- Data Science: basic understanding
- Machine learning frameworks:
a. Pytorch
b. Tensorflow
c. Scikit-learn