MLOPs Engineer

Design, develop, and maintain automated pipelines for input data ingestion and output model deployment to SAT environments. Collaborate with data engineering and AI/ML teams to ensure seamless integration of data and models across environments. Build CI/CD workflows for ML model lifecycle management using Azure Services. Ensure traceability, versioning, and reproducibility of datasets and models. Monitor pipeline performance, implement logging and alerting, and troubleshoot issues proactively. …