Senior Machine Learning Engineer

New
Ukraine. Poland. GermanyFull-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
PythonPyTorchPandasTensorflowCI/CDA/B testingscikit-learnMLOps

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
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