Machine Learning Engineer
Eeze Consulting AB / Datajobb / Stockholm
2025-09-12
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hela Sverige We are supporting one of the world's most recognized global retailers in strengthening their machine learning team. Their products reach millions of customers every day, and the systems you will help build will directly shape how those customers discover, interact with, and shop across digital channels.
This is an opportunity to step into an environment where machine learning is at the core of personalization and large-scale recommendation systems.
The Assignment Start date is October 13, 2025
End date is June 30, 2026
Location is Stockholm, on-site only
Level is mid to senior consultant
You will join a product team focused on customer-facing recommendation systems with high availability, APIs, and scalable ML solutions
What You Will Work On Design, develop, and maintain ML pipelines using Vertex AI Pipelines and Kubeflow
Work with BigQuery, SQL, and DBT for data modeling and transformations
Build orchestration workflows in Cloud Composer and Airflow
Manage IAM, service accounts, and Data Catalog for security and compliance
Apply Infrastructure as Code principles
Write clean, testable, production-ready Python code with OOP and testing frameworks
Implement unit and end-to-end testing with Pytest, unittest, and fixtures
Follow best practices for linting, formatting, and CI/CD
Work with Docker and GitHub Actions
Contribute to resilient data modeling and system design
What We Are Looking For Strong experience with GCP including Vertex AI, BigQuery, Cloud Composer, IAM, and Data Catalog
Deep expertise in Python with testing frameworks such as Pytest and unittest
Excellent skills in SQL, DBT, Docker, and Git
Familiarity with Unix systems and shell scripting
Exposure to Kubernetes or Dataflow is an advantage
Experience with recommendation systems, personalization, or high-availability
APIs is highly valued
Professional Machine Learning Engineer certification is required
Who You Are
Hands-on with a strong can-do attitude Structured problem solver who can handle unknown challenges Effective communicator with both stakeholders and technical peers Collaborative mindset and appreciation for code reviews and feedback
Ready to take on the challenge? Apply now and help shape the digital shopping experience for millions worldwide.
Ersättning Lön enligt överenskommelse
Så ansöker du Sista dag att ansöka är 2026-03-01
Klicka på denna länk för att göra din ansökan Omfattning Detta är ett heltidsjobb.
Arbetsgivare Eeze Consulting AB (org.nr 559051-4393),
https://www.eeze.nu/ Arbetsplats Eeze
Kontakt Hassan Hossein
hassan@eeze.nu Jobbnummer 9506588