Senior Machine Learning Engineer – 13015

Publiceringsdatum: 2025-09-15

Är du intresserad av att jobba inom data/it? Här är din möjlighet att bli en del av teamet hos Veritaz AB genom att arbeta som projektledare, it. Veritaz AB söker för närvarande efter personal på heltid för en tjänst 6 månader eller längre. Kolla in deras jobbannons för mer information.

Denna position är tillgänglig i ospecificerad arbetsort. Veritaz AB söker efter fler duktiga individer som vill arbeta som projektledare, it. De har just nu ett ledigt jobb som projektledare, it som kan vara av intresse för dig. Har du vad som krävs för att arbeta som projektledare, it hos Veritaz AB? Ansök innan onsdag den femtonde oktober 2025 och ta reda på det!

Jobbannons

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

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.