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Engineer #

ITProposal


Job Location:

Amsterdam - Netherlands

Monthly Salary: Not provided by the employer
Posted: 14 August 2026 (30+ days ago)
Application Deadline: 11 November 2026
Vacancies: 1 Vacancy

Job Summary

Engineer (Machine Learning & Cloud Platforms)

Location: Amsterdam Netherlands Start Date: 01 October 2026 Duration: 6 months Experience: 810 years Status: Open

About the Role

We are seeking an experienced Machine Learning Engineer with strong expertise across modern cloud platforms and advanced 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 crossfunctional teams to deliver scalable datadriven outcomes for enterprise environments.

Key Responsibilities
  • Develop train and deploy machine learning models using Python and industrystandard libraries (Scikitlearn 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 SQLbased 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
  • 810 years of experience in Machine Learning Data Science or Advanced Analytics.
  • Strong Python programming skills with handson experience in ML libraries.
  • Solid understanding of ML algorithms model evaluation techniques and statistical modeling.
  • Experience with cloudbased ML platforms (Azure ML Studio Databricks AWS GCP).
  • Proficiency in SQL Teradata and BigQuery.
  • Strong analytical mindset problemsolving ability and communication skills.
  • Ability to learn new technologies quickly and work effectively in collaborative teams.
Nice to Have
  • Exposure to multicloud ML architectures.
  • Experience with MLOps frameworks and automated model deployment.
Why Join Us

Youll 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 enterprisescale ML solutions.