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.