(Senior) Machine Learning Engineer

Design, implement, and maintain robust, reproducible, and containerized model training and inference pipelines—both batch and real-time—in close collaboration with Data Scientists, leveraging tools such as MLflow, SageMaker, and Feature Store. Translate business needs into ML solutions and engage in research and development to deliver fully-fledged services. Ensure ML services are modular, testable, and well-monitored from day one. Define and implement monitoring, observability, and alerting for ML production systems (detecting model drift, monitoring data quality, feature usage, and real-time performance). Contribute to internal Python libraries and platform tooling to accelerate experimentation, reproducibility, and deployment for all model teams. Mentor junior engineers and data scientists, fostering a culture of best practices in engineering.