The role requires strong experience with MLOps practices to operationalize ML models at scale, including automated training and deployment pipelines, model versioning, experiment tracking, model monitoring, drift detection, and CI/CD. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.