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Senior ML Engineer builds uplift and churn-prediction models in Python, collaborating with marketing and analytics teams to optimize customer retention and campaign impact.
Builds and maintains batch/streaming data pipelines (Airflow, Spark Streaming, Kafka) to fuel recommendation systems, feature stores, and ML models while optimizing performance and documentation.
Build and improve recommendation models using PyTorch and Feast for Okko’s streaming platform, leveraging ClickHouse data and A100 GPUs.
Leads four data engineering teams at Okko (Russian online cinema), owning DWH strategy and architecture, ETL/integrations, data quality SLAs, planning and budgeting, while developing leads and working with business stakeholders. Core stack: ClickHouse, Airflow, S3, Spark. Remote within Russia.
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