Associate Cloud Machine Learning Engineer

Associate Cloud ML Platform Engineer

Location: Remote

Contract to hire

Rate: 34 - 38.50/HR

About the Role:

Enterprise AI only works when the teams building on it can trust it. In this role, you'll help make that true for a large healthcare organization by building and running the shared cloud services behind its centralized AI Gateway and governed agentic AI framework, so that models and AI services are deployed, secured, monitored, and used in line with strict compliance and healthcare regulatory standards.

You'll work day to day alongside Lead and Senior Cloud ML Engineers while owning real pieces of the platform on your own across AWS and Azure. The heart of the job is cloud platform engineering: networking, infrastructure as code, access controls, observability, and production operations. Machine learning engineering and LLMOps are a strong second focus, as you evaluate new AI capabilities and support model-serving integrations. Over time, you'll become a trusted advisor to engineering teams designing scalable, observable, and responsibly governed GenAI and agentic solutions.

What You’ll Do:

• Build and operate the shared cloud services and tooling behind the enterprise AI Gateway, including endpoint management, model access, usage tracking, and operational monitoring
• Design, deploy, and support cloud infrastructure across AWS and Azure, including private networking, VPC/VNet design, DNS, routing, and load balancing, using Terraform and/or CloudFormation
• Write reusable, testable Python for automation, APIs, SDKs, and platform tooling
• Manage CI/CD pipelines and environment-based deployments, and troubleshoot production issues as they arise
• Implement IAM, RBAC, secrets management, logging, and alerting to keep AI services secure and aligned with healthcare compliance requirements
• Support model-serving integrations and evaluate new GenAI and cloud AI services, offering clear technical recommendations
• Advise engineering teams on building governed, observable agentic AI solutions that follow Responsible AI standards

What You Bring:

• 0-2 years of experience, this includes internships, fellowships, etc.
• Strong professional Python experience building scripts, services, automation, or platform tooling that is maintainable and well tested
• Hands-on AWS and/or Azure experience, including IAM, cloud-native services, and cloud networking (VPC/VNet, DNS, routing, secure service-to-service connectivity)
• Infrastructure as Code experience building, modifying, and troubleshooting Terraform and/or CloudFormation
• Solid software engineering fundamentals: Git workflows, debugging, testing, REST API development, and CI/CD pipeline experience
• Working knowledge of logging, monitoring, observability, and alerting, plus experience troubleshooting production systems and managing the lifecycle of APIs and service endpoints
• Familiarity with ML workflows, model deployment or serving, and GenAI/LLMOps concepts
• Nice to have: Databricks (Model Serving, Unity Catalog, Mosaic AI), AI or API gateway experience (model routing, quotas, rate limiting), RAG and agentic patterns, PHI/PII protection and AI governance exposure, or an AWS, Azure, GCP, or Databricks certification

Why Join Us?

• 401(k) Matching Plan
• Medical, Dental, & Vision Plans
• Relationship Driven Process to Find Your Best Fit
• 6 Paid Holidays
• Regular Meetings to Ensure Quality in Your Engagement

How to Apply:

Ready to help build the foundation for responsible AI at scale? Click Apply and send us your resume, and a member of the Brooksource team will reach out to talk through the role.

About Us:

At Brooksource, relationships are the foundation of everything we do. Since 2000, we’ve built lasting partnerships with clients, consultants, and internal teams to deliver an exceptional experience across every engagement. As a trusted IT and Engineering services provider, Brooksource supports Fortune 500 organizations through Experience-Driven Staffing, Professional Services, and Elevate, our proprietary Workforce Transformation program. Whether you're hiring for software development, cloud computing, cybersecurity, data analytics, or enterprise IT, our customized staffing solutions are designed to align with your company’s unique goals, culture, and technology stack. We offer flexible hiring models, including contract, contract-to-hire, and direct placement to meet your evolving business needs.

We are a certified partner of leading platforms, including Salesforce, AWS, Microsoft, and Google Cloud, enabling us to deliver scalable, end-to-end technology solutions. With a growing national footprint, Brooksource is redefining expectations in IT consulting, engineering services, and technology workforce solutions.

EEO Statement:

Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.

Benefits & Perks

Benefits & Perks: Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee’s needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.

Pay Disclaimer:

The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.