Machine Learning Engineer
Machine Learning Engineer
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Job Description
GCP requirements:
- Familiar with BigQuery can code SQL
- Familiar with Cloud composer / airflow
- Familiar with IAM service account
- Familiar with Data catalog
- Understand Infrastructure as Code
- Good to have knowledge with Dataflow K8s Vertex AI pipeline Kubeflow pipeline
Cloud agnostic skills:
- Python:
- Deep knowledge about python programing practice OOP following coding best practice know how to use flake8 mypy black SonarQube and pre-commit
- Deep knowledge in unit test and end to end test familiar with Pytest fixtures unittest etc
2. Unix:
- Familiar with popular Unix system know how to install sth in docker.
- Familiar with shell
3. Git:
- Know how to create PR and solve merge conflict.
- Can create CI/CD pipeline in Github Actions using best practice
4. Docker
- Deep understanding with Docker
5. DBT
- Deep Knowledge in DBT preferably with GCP
6. SQL
- Deep knowledge of SQL
- Deep understanding with Data modeling system design
Required cloud certification: GCP Professional Machine Learning Engine
Please explain how you meet all the requirements when applying.
Utilization: 100%
Location: Stockholm
Period:
Last day to apply:
We present regularly. This means that we sometimes remove the assignements from our website before the final application deadline. If you are interested in an assignement we recommend that you submit your application as soon as possible.
Employment Type
Full Time
