Senior ML Engineer

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Requirements:

• 3+ years of experience as a Data Scientist, ML Engineer, or in a similar role.
• Proficiency in Python, SQL, and Git.
• Experience with neural networks, time series, gradient boosting, and random forest.
• Strong foundation in linear algebra, probability, statistics, and optimization.
• Upper-intermediate and advanced proficiency in both English and Russian.
• Desirable technical skills include unit testing, AWS S3, Docker, Kubernetes, experience in logistics, engagement with industry articles and research papers, participation in competitions (like Kaggle), hyperparameter tuning methods, and anomaly detection.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.

Responsibilities:

• Research and identify new business features to enhance prediction accuracy.
• Enhance Rate Engine through algorithm manipulation, feature experimentation, and research to optimize data filtering and predictive model quality.
• Monitor and maintain deployed ML models, ensuring accuracy and efficiency.
• Automate ML pipelines and manage the entire model lifecycle.
• Develop complex business logic in Python to integrate models into a company's processes.
• Scale and optimize the performance of existing models (RPS, memory consumption).
• The primary focus of your work will be on tabular data.