AIOps/MLOps Engineer

We're seeking an AI Ops Engineer to build and maintain our ML and AI infrastructure and streamline model deployment workflows. This role focuses on implementing MLOps and AIOps best practices, building CI/CD pipelines for ML models, and creating scalable AI systems using AWS services.

Responsibilities:

• Design and implement end-to-end MLOps pipelines using GitHub Actions and AWS services
• Build infrastructure as code using AWS CDK for AI/ML workloads
• Deploy and optimize AI models on SageMaker endpoints using various deployment patterns
• Set up model versioning and governance using SageMaker Model Registry
• Implement model monitoring and observability using SageMaker Model Monitor
• Create automated testing frameworks for ML models and pipelines
• Support deployment of custom models like Whisper for edge computing scenarios
• Enable integration with AWS AI services like Bedrock and A2I

• Maintain security and compliance requirements for AI systems

   

Ideal Candidate:

• Extensive experience with AWS AI/ML services, especially SageMaker and Bedrock
• Strong software engineering background with Python
• Experience implementing MLOps practices and building CI/CD pipelines with GitHub Actions
• Proficiency with Infrastructure as Code using AWS Python CDK
• Experience with model deployment patterns (blue-green, canary, A/B testing)
• Experience with SageMaker Model Monitor for tracking model performance and drift
• Strong background in containerization (Docker), Kubernetes, and container orchestration with experience deploying ML workloads to ECR and EKS
• Familiarity with A2I and Ground Truth for human-in-the-loop workflows
• Experience deploying ML models to edge devices highly desired
• Understanding of security and compliance requirements in healthcare
• Proven track record of building scalable AI infrastructure

• Master's degree in Computer Science, Engineering or related field

   

Huge Plus:

• Experience deploying Whisper or similar speech-to-text models on mobile devices
• Hands-on experience with Amazon A2I and SageMaker Ground Truth
• Background in healthcare AI/ML applications
• Python CDK experience 
• Experience in healthcare/regulated industries
• Strong AWS background