Senior MLOps Architect

We are seeking a Senior MLOps Architect to design and deliver a cloud-based AI/ML development platform for medical imaging and healthcare applications. The ideal candidate will have expertise in AWS, MLOps, machine learning infrastructure, experiment tracking, model lifecycle management, and regulated environments.

Key Skills:

• AWS (SageMaker, EKS, S3, IAM)
• MLOps & ML Platform Architecture
• MLflow, Model Registry, Experiment Tracking
• Docker, Kubernetes, CI/CD
• GPU-based Training Environments
• Data Lake & API Integration
• GxP, 21 CFR Part 11, SaMD, or other regulated healthcare/pharma environments

Experience:

• 10+ years in Software/Cloud Architecture
• 4+ years in ML Platform, MLOps, or AI Infrastructure Architecture
• Experience supporting Data Science and AI teams in enterprise environments

This role will lead the architecture and delivery of scalable, secure, and compliant AI/ML platforms supporting the full machine learning lifecycle from experimentation to production deployment.