Machine Learning Engineer

Responsibilities

• Designing and building real-time ML services for ads monetization (floor pricing, ad load) and in-game personalization (difficulty, content);
• Building data pipelines and performant queries over large-scale behavioral data;
• Taking models from research to production together with DS: shaping requirements, agreeing on interfaces, and owning the production part;
• Setting up CI/CD, monitoring and model quality tracking.

Requirements

• Experience building and running production services in Python, including performance optimization;
• Strong SQL and hands-on experience with large data volumes;
• Experience in data engineering and MLOps (pipelines, CI/CD, monitoring);
• Understanding of ML and A/B testing well enough to work on equal terms with DS;
• Ability to understand business context, gather requirements and own technical decisions;
• Experience with high-load or low-latency systems, ad tech, or mobile games is a plus;
• B2+ level of English;
• Fluent Russian is required.

Tech stack

Python, ClickHouse, PostgreSQL, Airflow, MLflow, Docker; PyTorch and LightGBM models in production.

Benefits

• Besides the engaging tasks, support from experienced colleagues, challenge, and drive, we offer:
• Full support in relocating to countries where our offices are located;
• High-end market salary with performance bonuses;
• All needed equipment;
• Regular company events and monthly Friday meetings;
• Social benefits (private medical cover, sports reimbursement, etc.);
• Paid vacations, sick days;
• English, Greek, and Polish online language classes;
• Reimbursement for education and professional development.