Machine Learning Engineer

Om jobbet

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.