Beskrivning av uppdrag 49326
Stockholm 
We are currently looking for a Machine Learning Engineer to strengthen the maintenance team. This is a full-time role for a technically strong engineer who enjoys working with production-grade machine learning pipelines and cloud infrastructure. You will be part of a collaborative and experienced team, contributing to the development and maintenance of robust, scalable data and ML solutions on Google Cloud Platform (GCP).
The ideal candidate is a self-driven engineer who values clean code, automation, and scalable system design, and who thr[i]ves in a structured, product-focused environment.
Requirements:
Mid to senior-level experience as a Machine Learning Engineer
GCP certification: Professional Machine Learning Engineer (must be obtained within 1 month of start if not already certified)
Strong coding skills in Python, including object-oriented programm[i]ng and adherence to best practices (e.g. flake8, black, mypy, SonarQube, pre-commit)
Experience with writing unit tests and end-to-end tests using Pytest or similar frameworks
Proficiency in SQL and data modeling, with experience working in BigQuery
Familiarity with Cloud Composer / Airflow
Familiarity with IAM and service account configuration
Familiarity with Data Catalog
Understanding of Infrastructure as Code principles
Familiarity with D[B]T (preferably in a GCP environment)
Familiarity with Docker and containerized environments
Experience working with Git, including pull requests, resolving merge conflicts, and creating CI/CD pipelines (e.g. in GitHub Actions)
Comfortable working in Unix-based systems, with experience in shell scripting
Meriting:
Experience with Vertex AI Pipelines or Kubeflow Pipelines
Knowledge of Kubernetes and/or Dataflow
Background in MLOps or DevOps for ML-heavy environments
Experience building secure, scalable ML infrastructure in cloud environments
Assignment details:
Location: Stockholm On-site (remote work is not allowed)
Start date: 2025-09-01
End date: 2026-02-28
Scope: 100% (full-time)