Arbetsbeskrivning

Role: Senior Machine Learning Engineer

Location: Stockholm, Sweden (on-site only)

Remote Work: Not available

Application Deadline: 04 July 2025

Assignment Overview:

We are looking for a Senior Machine Learning Engineer for an on-site assignment with our client in Stockholm. This is a hands-on technical role ideal for someone with strong Python, SQL, DevOps, and cloud-based data engineering experience.

Key Responsibilities and Skills:

Core Cloud & Platform Knowledge:

• Proficient in BigQuery and SQL coding
• Familiar with Cloud Composer / Apache Airflow
• Knowledge of IAM (Identity and Access Management) and Service Accounts
• Experience with Data Catalog
• Understanding of Infrastructure as Code concepts
• Bonus: Experience with Dataflow, Kubernetes, Vertex AI Pipelines, Kubeflow Pipelines

Cloud-Agnostic Technical Skills:

1. Python Development:

• Strong command of Python with OOP principles
• Follows best coding practices and uses tools like flake8, mypy, black, SonarQube, and pre-commit
• Skilled in unit testing and end-to-end testing using tools such as pytest, fixtures, unittest, etc.

2. Unix:

• Comfortable working in Unix environments
• Able to install software in Docker containers
• Proficient in shell scripting

3. Git & CI/CD:

• Experience with Git (creating pull requests, resolving merge conflicts)
• Able to build CI/CD pipelines using GitHub Actions with industry best practices

4. Docker:

• In-depth understanding of Docker and containerized environments

5. DBT (Data Build Tool):

• Strong experience with DBT, ideally within Google Cloud Platform (GCP)

6. SQL & Data Engineering:

• Advanced SQL skills
• Solid grasp of data modeling and system design