Machine Learning Engineer

13243

1 Jan, 2025 to 31 Dec, 2025

Stockholm (50% remote)

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

Please explain how you meet all the requirements when applying.

Utilization: 100%

Location: Stockholm

Period: 01-01-2025-31-12-2025

Last day to apply: 27-11-2024

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.