Note: The job is a remote job and is open to candidates in USA. Brooksource is recruiting for a Fortune 500 healthcare insurance client building a centralized enterprise AI platform. The Cloud Machine Learning Engineer will build and operate cloud services, infrastructure, automation, security controls, observability, and production operations across AWS and Azure, while supporting machine learning, GenAI, agentic AI, and LLMOps capabilities.
Responsibilities
- Build and operate the enterprise cloud services that enable AI model access, endpoint governance, usage tracking, and operational monitoring through the AI Gateway and MAGI Framework
- Write and maintain production-quality Python — scripts, services, automation, SDKs, and APIs — using reusable, testable, maintainable code
- Build, modify, and troubleshoot Infrastructure as Code (Terraform and/or CloudFormation) and automate deployments through CI/CD pipelines across AWS and Azure environments
- Implement and manage access controls, secrets, networking, and secure service-to-service connectivity, along with logging, monitoring, observability, and alerting for production AI services
- Support model-serving integrations and help operationalize GenAI and agentic AI solutions in alignment with the client’s security, compliance, observability, and Responsible AI frameworks
- Manage APIs, service endpoints, and endpoint lifecycle, and contribute to production troubleshooting, operational support, and platform governance
Skills
- • Strong professional Python proficiency, plus hands-on cloud experience designing, deploying, and supporting solutions in AWS and/or Azure (networking, security, IAM, and cloud-native services)
- • Infrastructure as Code experience — able to build, modify, and troubleshoot Terraform and/or CloudFormation — along with CI/CD, Git, and solid software engineering fundamentals
- • Cloud networking and connectivity knowledge: private networking, VPC/VNet design, DNS, routing, load balancing, and secure API connectivity
- • Cloud platform and operational experience: IAM/RBAC, secrets management, observability, alerting, endpoint/API lifecycle management, and production troubleshooting
- • Exposure to Machine Learning platforms or MLOps — model deployment, model serving, ML workflows, or production ML/GenAI services — with a foundational understanding of machine learning, GenAI, and cloud AI concepts
- • Preferred: Databricks (Model Serving, Unity Catalog, Delta Lake, Mosaic AI, Asset Bundles), AI/API Gateway technologies, LLMOps, RAG or agentic workflows, AI governance/security (PII/PHI, prompt-injection defense, auditability), FinOps, and AWS/Azure/GCP/Databricks certifications
Benefits
- 401(k) Matching Plan
- Medical, Dental, & Vision Plans
- 6 Paid Holidays
- 401k plan that includes a company match and is fully vested after you become eligible
- Paid time off
- Sick time
- Paid company holidays
- Health Savings Account
- Dependent Care FSA
- Supplemental coverage with plans that can fit each employee’s needs
- Employee Assistance Program (EAP) providing virtual counseling, financial services, legal services, and life coaching
Company Overview
Company H1B Sponsorship