Senior Machine Learning Engineer

About the Company
Avaron AB is a growing consultancy focused on technology, finance, and business support. We match your expertise with the market's most interesting assignments, offering a platform where your professional development is central.
About the Assignment
You will join a team building customer-facing machine learning solutions, with a focus on recommendation and personalization. The environment is strongly oriented around Google Cloud Platform and production-grade data/ML pipelines, with an emphasis on code quality, automation, and scalable system design.
Job DescriptionDesign, build, and maintain ML pipelines using Vertex AI pipelines / Kubeflow
Develop and optimize data workflows using BigQuery and SQL
Orchestrate pipelines with Cloud Composer / Airflow
Work with IAM and service accounts to enable secure access patterns
Use and maintain metadata through Data Catalog
Apply Infrastructure as Code principles in the platform setup and evolution
Develop Python code following best practices (OOP, linting, typing, formatting, and static analysis)
Write and maintain unit and end-to-end tests using established Python testing frameworks
Collaborate via Git workflows (PRs, code reviews, and merge conflict resolution)
Build and maintain CI/CD pipelines (e.g., GitHub Actions)
Work with Docker-based development and runtime environments
Contribute to data modeling and system design for robust, scalable solutions
RequirementsStrong experience in Python development, including OOP and coding best practices
Experience with flake8, mypy, black, SonarQube, and pre-commit
Strong testing experience (unit and end-to-end), using tools such as Pytest/fixtures/unittest
Solid experience with SQL and BigQuery
Hands-on experience with Vertex AI pipelines / Kubeflow pipelines
Experience with Cloud Composer / Airflow
Understanding of IAM and service accounts
Experience working with Data Catalog
Understanding of Infrastructure as Code concepts
Deep understanding of Docker and Unix environments, including shell usage
Strong Git skills (PR workflow and merge conflict handling)
Ability to create CI/CD pipelines (e.g., GitHub Actions) using best practices
Strong understanding of data modeling and system design
Nice to haveExperience with Dataflow
Experience with Kubernetes
Experience building high-availability APIs
Experience with ML-based recommendations and personalization systems
Strong DBT experience, preferably in a GCP context
Application
Selections are made on an ongoing basis, so we recommend that you apply as soon as possible.