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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.
Product analyst on the Growth team at a leading Russian online cinema, running A/B tests and building dashboards to improve user metrics using ClickHouse, Python, and Superset.
Senior ML Engineer builds uplift and churn-prediction models in Python, collaborating with marketing and analytics teams to optimize customer retention and campaign impact.
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