Senior Cloud Machine Learning Engineer
100% Remote (CST Work Hours)
Contract-to-Hire (W-2)
Join our Fortune 50 healthcare client’s AI Hub as a Senior Cloud Machine Learning Engineer, where you’ll be on the ground floor of building out the company’s new AI Shared Services team. This role sits at the intersection of Cloud Engineering and Machine Learning, focused on developing secure, scalable, and compliant AI infrastructure that supports enterprise-wide use of Large Language Models (LLMs) and Generative AI (GenAI). You’ll work closely with the Lead Cloud ML Engineer to implement AI governance frameworks, observability patterns, and centralized access to AI services across AWS and Azure cloud platforms.
Responsibilities
- Build, operationalize, and scale cloud infrastructure that powers enterprise LLM and AI services in AWS Bedrock and Azure AI Foundry.
- Contribute to the design and implementation of a centralized AI Gateway to manage secure access, usage tracking, and governance for AI models.
- Implement and automate guardrails for PII protection, prompt injection defense, content moderation, and rate limiting.
- Develop logging, monitoring, and observability patterns to ensure compliance, reliability, and scalability of AI workloads.
- Deploy and operationalize GenAI and ML model infrastructure (networking, IAM, compute, and storage) using Terraform or CloudFormation.
- Integrate AI infrastructure components into CI/CD pipelines to ensure reproducible, auditable deployments.
- Collaborate with Data Science, Cloud Engineering, and Security teams to ensure seamless AI integration and adherence to enterprise standards.
Requirements
- Bachelor’s degree in Computer Science or Data Science required; Master’s degree preferred.
- 5-10 years of professional experience combining Cloud Platform Engineering and Machine Learning Engineering.
- Strong experience with AWS Bedrock or Azure AI Foundry for AI/ML workloads.
- Hands-on experience deploying and scaling LLM and GenAI models in production environments.
- Proficiency with Infrastructure as Code tools such as Terraform or CloudFormation.
- Familiarity with Databricks, Delta Lake, and Unity Catalog for data governance and observability.
- Understanding of security and compliance requirements, including PII protection and regulatory guardrails in AI systems.
*US Citizens & Green Card Holders Only*
