ML Engineer (Data Anonymization Project)

Senior ML Engineer needed for a long-term data anonymization project. Remote, contract via individual entrepreneur (IP). Experience with NLP, NER, and ML model deployment required. Contact via Telegram.

Long-term project focused on data anonymization. Responsibilities include developing and deploying ML models into production, building pipelines for unstructured data processing, and working on NER models to identify personal data in arbitrary text. Requirements: - Experience as ML Engineer / Data Scientist - Leadership experience - Experience developing and deploying ML models into production - Python, pandas, numpy, scikit-learn - Experience with NLP tools: SpaCy, Hugging Face Transformers and/or analogues - Experience solving entity extraction tasks (NER), training NER models to detect personal data in arbitrary text - Experience building pipelines for unstructured data processing - Experience working with mixed data in one column, recognizing new data types - Understanding and experience with decision trees and ensembles, Random Forest - Ability to interpret results, tune hyperparameters, assess overfitting risks - Containerization (Docker) - Model deployment via API (FastAPI/Flask) - Model and data versioning (MLflow/DVC) - Understanding of CI/CD processes

Experience as ML Engineer / Data Scientist; leadership experience; experience developing and deploying ML models into production; Python, pandas, numpy, scikit-learn; experience with NLP tools (SpaCy, Hugging Face Transformers); experience with NER and entity extraction; experience building pipelines for unstructured data; experience with mixed data types; understanding of decision trees and ensembles (Random Forest); ability to interpret results, tune hyperparameters, assess overfitting risks; Docker; model deployment via API (FastAPI/Flask); model and data versioning (MLflow/DVC); understanding of CI/CD processes

Remote work. Cooperation via individual entrepreneur (IP) format. Long-term project.