Senior Machine Learning Engineer - 13015

This post is also available in: Svenska (Swedish)

Assignment Description:

We are looking for a Senior Machine Learning Engineer to join our dynamic team.

What you will work on:

Design, develop, and maintain scalable machine learning pipelines using Vertex AI Pipelines and Kubeflow.
Build and optimize data models and transformations using BigQuery, SQL, and DBT.
Implement orchestration workflows with Cloud Composer and Airflow.
Ensure system security and compliance through proper use of IAM, service accounts, and Data Catalog.
Apply Infrastructure as Code practices to enable reliable and repeatable deployments.
Contribute to system design, data modeling, and CI/CD pipelines following industry best practices.
Collaborate closely with product owners, stakeholders, and technical peers to deliver high-quality, customer-facing recommendation systems.

What you bring:

Proven expertise with Google Cloud Platform, including Vertex AI Pipelines/Kubeflow, BigQuery & SQL, Cloud Composer/Airflow, IAM & service accounts, and Data Catalog.
Strong experience with Infrastructure as Code tools and practices.
Advanced Python development skills, including OOP, unit/e2e testing, and use of best practices and tooling (flake8, mypy, black, pre-commit, SonarQube).
Hands-on experience with Git (PR workflows, merge conflict resolution, CI/CD pipelines in GitHub Actions).
Solid understanding of Docker, Unix, and Shell scripting, including Docker setup and usage.
Deep knowledge of DBT, ideally in a GCP environment.
Familiarity with Dataflow and Kubernetes is a plus.
Strong foundation in data modeling and system design.
Excellent problem-solving and communication skills, with the ability to engage both technical and non-technical stakeholders.
Proactive, solution-oriented mindset with a passion for code quality, code reviews, and continuous improvement.

If this sounds interesting, please send your CV to cv@veritaz.se

Senior Machine Learning Engineer – 13015