AI Engineer
Core
Develops, deploys, and monitors machine learning models in production environments within a healthcare setting, focusing on MLOps practices and scalable ML infrastructure.
Role type
Machine Learning Engineer (MLOps)
Builds
Scalable, secure, and reliable ML infrastructure and production-grade ML pipelines
Domain
Healthcare / Machine Learning Operations
Deliverable
production ML models
Required skills
Machine learning concepts, MLOps practices, CI/CD pipelines, cloud infrastructure, container orchestration, programming and scripting, model monitoring, data governance
Preferred skills
Healthcare domain experience, regulated environment experience, advanced MLOps/DevOps experience
Technologies
Cloud platforms, container orchestration tools, CI/CD tools
Responsibilities
Develop and refine ML deployment pipelines, implement model monitoring systems, automate retraining and validation processes, optimize cloud infrastructure for ML workloads, ensure compliance with healthcare data governance and security protocols
Seniority
Mid-level, hands-on IC
