Machine Learning Engineer
We usually respond within three days
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 diagnostic skills:
- 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
Unix:
- Familiar with popular Unix system, know how to install sth in docker.
- Familiar with shell
Git:
- Know how to create PR and solve merge conflict.
- Can create CI/CD pipeline in either Github Action or Azure DevOps using best practice
Docker:
- Deep understanding with Docker
DBT:
- Deep Knowledge in DBT, preferably with GCP
SQL:
- Deep knowledge of SQL
- Deep understanding with Data modeling, system design
- Department
- Engineering
- Locations
- Stockholm
- Remote status
- Hybrid Remote
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Machine Learning Engineer
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