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