{"id":779999,"url":"https://alion.io/job/globaldev-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":173118,"name":"Globaldev Group","domain":"globaldev.tech","url":"https://alion.io/company/globaldev","size_band":"201-500","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["DE","PL","UA"],"hiring_countries_total":3,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":76000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"A/B Testing","optional":true}],"status":"live","first_seen_at":"2026-03-13T00:00:00Z","employer_posted_date":"2026-03-13","last_verified_at":"2026-10-26T17:24:33Z","board_verified":true,"closed_at":null,"days_open":227,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":227},"description":"We are looking for a Senior Machine Learning Engineer to design, own, and scale predictive systems that power VIS.X - programmatic advertising platform.\nYou will take end-to-end responsibility for high-impact ML initiatives (e.g., pricing optimization, bid prediction, performance forecasting, delivery optimization) and translate complex business problems into robust, production-grade machine learning systems.\nThis is a senior individual contributor role with leadership potential. You will help shape our ML architecture, standards, and long-term AI strategy, with the opportunity to grow into a team lead role as we expand our data science capabilities.\nRequirements:\n5+ years of experience in machine learning / applied ML roles with production ownership\nProven track record of deploying and maintaining ML systems in real-world environments\nStrong Python skills (e.g., pandas, scikit-learn, PyTorch/TensorFlow)\nSolid knowledge of statistics, experimentation design, and model evaluation\nExperience working with large-scale datasets and performance-critical systems\nUnderstanding of MLOps principles (model lifecycle, monitoring, CI/CD integration, retraining pipelines)\nStrong problem ownership mindset - ability to independently structure ambiguous challenges\nAbility to translate business trade-offs into modeling decisions\nExperience in AdTech, marketplaces, or auction-based systems is a plus\nExperience working in high-scale, real-time systems is a 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