Machine Learning Engineer

Posted 2 Days Ago
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Hiring Remotely in Limassol, CYP
Remote or Hybrid
Entry level
Gaming • Mobile • Software • App development
The Role
Build and operate real-time machine learning services for ads monetization and game personalization. Develop large-scale data pipelines, optimize Python services and SQL queries, deploy models to production, and establish CI/CD, monitoring, and model quality tracking. Partner with Data Scientists to translate research into production systems, define interfaces, gather business requirements, and make technical decisions across backend engineering, data engineering, and MLOps.
Summary Generated by Built In

Easybrain is looking for a Machine Learning Engineer to join our Business Intelligence team. Our ML models run in production, powering LTV prediction and user acquisition optimization across a portfolio of games with billions of installs. We are now building new ML systems for ads monetization and game personalization, and many of them make decisions in real time.
You will work alongside Data Scientists as an equal partner and own the engineering side of these systems: real-time services, data pipelines, and deployment and monitoring infrastructure. The role combines backend development, data engineering and MLOps, with a lot of work on large-scale data.
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.

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

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.

Skills Required

  • Production experience building and running Python services, including performance optimization
  • Strong SQL skills and hands-on experience with large data volumes
  • Experience with data engineering and MLOps, including pipelines, CI/CD, and monitoring
  • Understanding of machine learning and A/B testing sufficient to collaborate with Data Scientists
  • Ability to understand business context, gather requirements, and own technical decisions
  • B2 or higher English proficiency
  • Fluent Russian
  • Experience with high-load or low-latency systems, ad tech, or mobile games
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The Company
442 Employees
Year Founded: 2016

What We Do

Easybrain is a mobile game developer focused on creating engaging puzzle and logic games. Founded in 2016, the company utilizes a data-driven approach and in-house analytics to enhance game development and performance marketing. Its portfolio includes popular titles such as Sudoku.com and Blockudoku, and it has achieved more than 2.5 billion downloads worldwide, helping players keep their brains active and fight stress.

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