ML Engineer
50% hybrid - 12 Month contract

• Proficient in GCP
  • BigQuery with experience in Cloud Composer/Airflow, IAM
  • Service accounts, and Data Catalog, IaC
  • Strong expertise in DBT with GCP
  • Advanced SQL skills

• Strong proficiency in Python
  • OOP and best practices, code quality tools (flake8, mypy, black, SonarQube, pre-commit)
  • Testing frameworks (Pytest, fixtures, unittest).

• Comfortable with Unix-based systems and Docker installations.
• Proficiency in Shell Scripting.
• Ability to build CI/CD pipelines using GitHub Actions or Azure DevOps following best practices.
• In-depth understanding of Docker and containerization.
• Deep knowledge of data modelling and system design.

Nice to haves: Dataflow, Kubernetes, Vertex AI Pipeline, and Kubeflow Pipeline