{"id":2164342,"url":"https://alion.io/job/itproposal-engineer-machine-learning-cloud-platforms","title":"Engineer (Machine Learning & Cloud Platforms)","company":{"id":4374987,"name":"ITproposal","domain":"itproposal.com","url":"https://alion.io/company/itproposal","size_band":"501-1000","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Amsterdam, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":76000,"max_usd":182000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":18},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Statsmodels","optional":false},{"name":"Teradata","optional":false}],"status":"live","first_seen_at":"2026-10-09T09:20:44Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-11T02:00:29Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Engineer (Machine Learning & Cloud Platforms)\nLocation: Amsterdam, Netherlands\nStart Date: 01 October 2026\nDuration: 6 months\nExperience: 8-10 years\nStatus: Open\nAbout the Role\nWe 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.\nKey Responsibilities\nDevelop, train, and deploy machine learning models using Python and industry-standard libraries (Scikit-learn, Pandas, NumPy, Matplotlib, Statsmodels).\nBuild and optimize data pipelines across cloud platforms (Azure, AWS, GCP).\nPerform statistical analysis, model evaluation, and ML experimentation.\nWork with SQL-based systems including Teradata, BigQuery, and relational databases.\nCollaborate with data engineering and business teams to translate requirements into ML solutions.\nEnsure best practices in coding, documentation, version control, and model governance.\nEssential Skills & Experience\n8-10 years of experience in Machine Learning, Data Science, or Advanced Analytics.\nStrong Python programming skills with hands-on experience in ML libraries.\nSolid understanding of ML algorithms, model evaluation techniques, and statistical modeling.\nExperience with cloud-based ML platforms (Azure ML Studio, Databricks, AWS, GCP).\nProficiency in SQL, Teradata, and BigQuery.\nStrong analytical mindset, problem-solving ability, and communication skills.\nAbility to learn new technologies quickly and work effectively in collaborative teams.\nNice to Have\nExposure to multi-cloud ML architectures.\nExperience with MLOps frameworks and automated model deployment.\nWhy Join Us?\nYou'll be part of a dynamic digital team driving innovation in machine learning and cloud engineering. 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