Machine Learning Engineer

For which tasks (responsibilities)?

You will work with a data science team to develop an internal BI system, which is used to make data-driven decisions for creation of market-leading puzzle and logic games. 

Responsibilities: 

- Work with large amounts of data from multiple sources to develop, along with a data science team, production ready machine learning models for predicting user's LTV in mobile games, segmentation of users, and analyzing anomalies in data;

- Architect and design scalable and efficient ML pipelines for data processing, feature engineering, model training, evaluation, and deployment;

- Optimize and fine-tune machine learning models for maximum accuracy, efficiency, and scalability;

- Implement and maintain production-grade machine learning systems, ensuring reliability, monitoring, and continuous improvement.

What kind of professional are we looking for?

- Possessing significant expertise in Python;

- Demonstrating substantial experience in SQL;

- Experience in creating data architecture and managing complex data systems;

- Having a comprehensive understanding of various machine learning algorithms and the capability to determine the most effective ones for our tasks;

- Experience in developing production ready models and implementing them for practical use;

- Experience with ML Ops tools (MLFlow preferably);

- Russian language proficiency - advanced;

- English language proficiency - intermediate+;

- Experience in advertising technologies, mobile games and business intelligence tools will be a plus.

Why do we enjoy working here?

Besides the engaging tasks, support from experienced colleagues, and the opportunity to realize your own ideas, challenge, and drive, we offer:

- High salary with performance bonuses;

- Modern office and equipment (remote work during COVID-19);

- Snacks and drinks;

- Attendance of key industry events;

- Medical insurance;

- Sports reimbursement;

- English lessons;

- Relocation package if needed;

- Fast-paced and easy-going environment.​