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;
