Machine Learning Engineer -3827 - Stockholm

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:
Utilize your expertise in machine learning engineering to contribute to the development and implementation of advanced solutions.
Collaborate with cross-functional teams to design, build, and deploy machine learning models and pipelines on Google Cloud Platform (GCP).
Work with BigQuery to code SQL and analyze large datasets for actionable insights.
Leverage Cloud Composer and Airflow for efficient workflow orchestration.
Utilize IAM and service accounts for secure and controlled access to GCP resources.
Employ Data Catalog to manage and organize data assets effectively.
Apply Infrastructure as Code principles for scalable and reproducible infrastructure.
Explore and implement Dataflow, K8s, Vertex AI pipeline, Kubeflow pipeline for enhanced machine learning capabilities.

What you bring:
Proficiency in Python programming with a strong emphasis on Object-Oriented Programming (OOP) and adherence to coding best practices.
In-depth knowledge of unit testing and end-to-end testing, including familiarity with Pytest, fixtures, and unittest.
Expertise in cloud-agnostic skills, with a deep understanding of popular Unix systems and the ability to install applications in Docker environments.
Familiarity with shell scripting for efficient system operations.
Experience in creating and managing Pull Requests (PRs) and resolving merge conflicts.
Capability to establish CI/CD pipelines using GitHub Actions or Azure DevOps, following industry best practices.
Thorough understanding of Docker containers and their deployment.
Deep knowledge of DBT, preferably with GCP, and proficiency in SQL.
Strong competence in data modeling and system design.
Certification: Professional Machine Learning Engineer on GCP.