Engineer (Machine Learning & Cloud Platforms) #10912403
Engineer (Machine Learning & Cloud Platforms)
Location: Amsterdam, Netherlands Start Date: 01 October 2026 Duration: 6 months Experience: 8–10 years Status: Open
About the Role
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.
Key Responsibilities
- Develop, train, and deploy machine learning models using Python and industry‑standard libraries (Scikit‑learn, Pandas, NumPy, Matplotlib, Statsmodels).
- 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, BigQuery, 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.
Essential Skills & Experience
- 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 BigQuery.
- Strong analytical mindset, problem‑solving ability, and communication skills.
- Ability to learn new technologies quickly and work effectively in collaborative teams.
Nice to Have
- Exposure to multi‑cloud ML architectures.
- Experience with MLOps frameworks and automated model deployment.
Why Join Us?
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.