🛠 Tech Stack

💼 About This Role

You'll design and optimize probabilistic machine learning models for eSports games, driving predictive accuracy. You'll develop data pipelines and champion MLOps best practices to ensure reliable deployment. This role offers a chance to work with industry giants in a fast-growing company.

🎯 What You'll Do

• Design probabilistic ML models for eSports games
• Build and maintain data pipelines for ingestion and transformation
• Establish CI/CD pipelines for automated model training and deployment
• Collaborate on scalable deep learning solutions

📋 Requirements

• 3+ years deploying ML models into production
• Deep proficiency in Python and PyTorch or TensorFlow
• Strong understanding of machine learning fundamentals and statistical modeling
• Experience with cloud platforms (AWS, GCP, Azure) and Docker

✨ Nice to Have

• Experience with MLOps best practices
• Exposure to eSports or gaming analytics

🎁 Benefits & Perks

• 🚀 Work in fast-growing tech company
• 🏢 Hybrid work model in Prague
• 💡 Collaborate with senior experts

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Take-home assignment· 2-3 hours
4. 4Onsite/team meeting· 60 min