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Senior Machine Learning Engineer at Globaldev Group. We are looking for a Senior Machine Learning Engineer to design, own, and scale predictive systems that power VIS.X - programmatic advertising platform.. You 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.. This 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.. Requirements:. 5+ years of experience in machine learning / applied ML roles with production ownership. Proven track record of deploying and maintaining ML systems in real-world environments. Strong Python skills (e.g., pandas, scikit-learn, PyTorch/TensorFlow). Solid knowledge of statistics, experimentation design, and model evaluation. Experience working with large-scale datasets and performance-critical systems. Understanding of MLOps principles (model lifecycle, monitoring, CI/CD integration, retraining pipelines). Strong problem ownership mindset - ability to independently structure ambiguous challenges. Ability to translate business trade-offs into modeling decisions. Experience in AdTech, marketplaces, or auction-based systems is a plus. Experience working in high-scale, real-time systems is a plus. Responsibilities:. Take ownership of machine learning problems from concept to production. Design, build, and deploy predictive models (e.g. pricing, bidding, optimization, forecasting). Develop scalable feature engineering and data pipelines for large-scale datasets . Define experimentation frameworks (A/B testing, offline validation, model comparison). Ensure production-grade MLOps: monitoring, retraining, drift detection, reliability. Collaborate closely with DevOps, Product, Engineering teams to align ML with business impact. Quantify model impact on revenue, margin, and performance KPIs. Contribute to building our long-term ML architecture and best practices. What we offer:. Comfortable environment, challenging tasks and a long-term interesting project;. Covered 20 days of vacation;. Working with top notch equipment;. Bookkeeping by a professional accountant;. Help and support from our caring HR-team;. Company Location: Germany.