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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Design and build real-time ML services for ads monetization, including floor pricing and ad load
- Design and build in-game personalization systems for difficulty and content
- Build data pipelines and performant queries over large-scale behavioral data
- Take models from research to production together with Data Scientists by shaping requirements, agreeing on interfaces, and owning the production part
- Set up CI/CD, monitoring, and model quality tracking
- Own the engineering side of real-time services, data pipelines, and deployment and monitoring infrastructure
Requirements
What you’ll need- 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 Data Scientists
- Ability to understand business context, gather requirements and own technical decisions
- B2+ level of English
- Fluent Russian is required
- Experience with high-load or low-latency systems, ad tech, or mobile games is a plus
Benefits
Comp & perks- 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