Implement and optimize enterprise-grade GenAI and MLOps infrastructure using AWS and Azure. Develop automated logging and observability tools. Collaborate with cross-functional teams to deliver cloud AI solutions.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Senior Cloud ML Engineer – GenAI & MLOps
Contract-to-Hire (W-2 with Benefits)
100% Remote (CST Work Hours)
Our Fortune 50 healthcare client is seeking a Senior Cloud ML Engineer to implement and optimize enterprise-grade GenAI and MLOps infrastructure. This role is part of a new AI Shared Services team and works directly with the Lead Cloud ML Engineer to build secure, scalable access to cloud AI/ML services from AWS and Azure. You will focus on hands-on development, integration, and deployment of AI platform components that enable standardized MLOps/LLMOps capabilities across the organization.
Responsibilities:
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