Senior ML Engineer

Requirements: Full cycle of development and implementation of ML models into production, monitoring, and retraining. Leadership in implementing business tasks. Python, pandas, NumPy, scikit-learn. NLP, NER, identification and anonymization of personal data. Processing unstructured data, PDFs, logs, and large databases (several TB). Data preprocessing, feature engineering, classification, and model optimization for CPU. Work with mixed and specific data (full names, addresses, phone numbers, VIN). Docker, FastAPI/Flask, MLflow/DVC, understanding of CI/CD.

**Location:**📍Remote, RF.

Contact for application:recruiter contact +CV