Engineer #10912403

Engineer (Machine Learning & Cloud Platforms)

Location: Amsterdam, Netherlands
Start Date: 01 October 2026
Duration: 6 months
Experience: 8-10 years
Status: Open

We are seeking an experienced Machine Learning Engineer with strong expertise across modern cloud platforms and advanced analytics. In this role, you will design, build, and optimize ML solutions using Python and leading cloud technologies such as Azure Machine Learning Studio
, Azure Databricks
, GCP
, and AWS
. You will work closely with cross-functional teams to deliver scalable, data-driven outcomes for enterprise environments.

• Develop, train, and deploy machine learning models using Python and industry-standard libraries (Scikit-learn, Pandas, Num Py, Matplotlib, Stats models).
• Build and optimize data pipelines across cloud platforms (Azure, AWS, GCP).
• Perform statistical analysis, model evaluation, and ML experimentation.
• Work with SQL-based systems including Teradata
  , Big Query
  , and relational databases.
• Collaborate with data engineering and business teams to translate requirements into ML solutions.
• Ensure best practices in coding, documentation, version control, and model governance.

• 8-10 years of experience in Machine Learning, Data Science, or Advanced Analytics.
• Strong Python programming skills with hands-on experience in ML libraries.
• Solid understanding of ML algorithms, model evaluation techniques, and statistical modeling.
• Experience with cloud-based ML platforms (Azure ML Studio, Databricks, AWS, GCP).
• Proficiency in SQL, Teradata, and Big Query.
• Strong analytical mindset, problem-solving ability, and communication skills.
• Ability to learn new technologies quickly and work effectively in collaborative teams.

• Exposure to multi-cloud ML architectures.
• Experience with MLOps frameworks and automated model deployment.

You'll be part of a dynamic digital team driving innovation in machine learning and cloud engineering. This is an opportunity to work on impactful projects, modern tech stacks, and enterprise-scale ML solutions.