Senior Data Scientist - ML Engineering & MLOps

As a Senior Data Scientist - ML Engineering, you will own the end-to-end lifecycle of machine learning models, transforming them into scalable and reliable production systems. You will architect cloud-native ML pipelines, implement robust MLOps practices, and ensure model performance and accuracy in a global healthcare context. This role offers the opportunity to drive technical excellence and provide leadership in a dynamic, data-driven environment.

• Architect, deploy, and maintain end-to-end production ML services and training pipelines
• Design and build reusable MLOps platform components and automated CI/CD deployment pipelines
• Develop automated back-testing frameworks and instrumentation for model observability
• Implement cloud-native ML infrastructure across AWS, Azure, or GCP
• Provide technical leadership, mentor data scientists, and establish engineering standards
• Partner with global affiliate teams to understand business needs and incorporate feedback

• Must be authorized to work without sponsorship.