Job Title: ML Engineer (Scala/Python)

Required experience: from 4 years (Middle+/Senior) Full-time, remote work or hybrid (Cyprus)

We are looking for an ML Engineer to join our recommendation systems team, who will help develop the infrastructure and ensure reliable delivery of recommendations to users. You will work on data processing systems and ML pipelines that form the basis of Gameram's recommendation algorithms, as well as participate in infrastructure development.

Tech Stack: Scala/Java, Python, Spark, Airflow, Hadoop, Hdfs, Kafka, Clickhouse, Superset, Redis, PostgreSQL.

Responsibilities:

• Support and improve ML pipelines;
• Create new and develop existing ETL processes;
• Implement tools for product analytics and machine learning;
• Work on the performance, stability, and fault tolerance of the platform;
• Participate in the implementation of MLOps practices;
• Interact with DS, analytics, and product teams to evaluate recommendation quality and product impact.

What we expect from you:

• Proficient knowledge of Scala/Java and Python;
• Experience in developing and supporting ML pipelines;
• Understanding of database principles, distributed data storage, and processing systems;
• Experience with Spark, Airflow, Hadoop/HDFS, Kafka; ClickHouse, Redis, PostgreSQL;
• Experience developing services or pipelines in high-load products;
• Understanding of the ML component lifecycle in a product: from data and model training to delivering results to the user.

Will be a plus:

• Experience with operating ML infrastructure in AWS;
• Experience with Linux administration.

What we offer:

• A complex and interesting product;
• Opportunity to influence the development of a key product direction;
• Flexible schedule, remote or hybrid format;
• A strong team, open to ideas and research;
• Participation in the option program after the probation period.