Cloud ML Platform Engineer — AI & MLOps

Brooksource

United States

On-site

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

401(k) Matching Plan

6 Paid Holidays

Job summary

Brooksource is partnering with a Fortune 500 healthcare insurer to build and operate a centralized AI platform. We seek a mid-level Cloud Machine Learning Engineer for hands-on work at the intersection of Cloud Platform Engineering and ML Ops, focusing on cloud services, governance, and secure model deployments.

The role emphasizes IaC, automation, and production operations across AWS and Azure, with responsibilities spanning model-serving integrations and GenAI enablement in a regulated

Qualifications

Strong Python proficiency with production-quality code practices.
Hands-on cloud engineering experience in AWS and/or Azure, incl. IAM and networking.
Experience with IaC, CI/CD, and secure cloud service design.

Responsibilities

Build and operate enterprise cloud services enabling AI model access, governance, usage tracking, and observability.
Write and maintain production-grade Python scripts, services, and APIs.
Develop IaC (Terraform/CloudFormation) and automate deployments via CI/CD across AWS/Azure.
Implement access controls, secrets management, logging, monitoring, and secure service connectivity for production AI services.
Support model-serving integrations and operationalize GenAI solutions in alignment with security and Responsible AI guidelines.

Skills

Python

Cloud engineering

Security & IAM

Observability

GenAI/LLMOps

Tools

Terraform

CloudFormation

CI/CD

Git

Job description

The role emphasizes IaC, automation, and production operations across AWS and Azure, with responsibilities spanning model-serving integrations and GenAI enablement in a regulated

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