Machine Learning Engineer

📋 Description Enhance predictive accuracy by designing probabilistic ML models for eSports. Build robust data pipelines for ingestion, transformation, and storage. Drive MLOps with CI/CD pipelines for training and deployment. Collaborate with data scientists and engineers on scalable DL solutions. Translate complex model results into clear insights for colleagues. 🎯 Requirements 3+ years hands-on production ML deployment experience. Python and ML frameworks: PyTorch, TensorFlow, Scikit-learn. ML fundamentals, deep learning architectures, and statistical modeling. Cloud and containerization: AWS, GCP, or Azure; Docker. Proactive problem-solving and analytical skills to develop ML solutions. 🎁 Benefits Hybrid work with remote option. Prague offices with Norse-myth-inspired design. Company-sponsored English language courses. Quarterly team-building activities. Multisport card sponsorship.