ML / AI Engineer (Cloud AI & ML Ops)
workforcenow/1acee2d1-a531-473c-be36-9d5012258ef4 · Posted Nov 13, 2025
- Remote, United States
- Remote
- Full-time
- $125K–$135K per year
Build and maintain end-to-end ML and AI pipelines, develop cloud-native services, extend MLOps framework, collaborate with data engineers and developers, implement secure architectures, participate in AI R&D, and contribute to documentation and standards.
Compensation
Pay $125,000 - $135,000
Responsibilities
- Build and maintain end-to-end ML and AI pipelines for training, inference, and monitoring.
- Develop and integrate cloud-native services that host, scale, and automate AI workloads.
- Extend the company’s MLOps framework through infrastructure-as-code, containerization, and CI/CD practices.
- Collaborate with data engineers and software developers to optimize data flows and model delivery.
- Implement secure and auditable architectures that align with healthcare compliance standards.
Requirements
- Nice to have: regulated environments
- Nice to have: generative AI
- Nice to have: conversational AI
- Nice to have: model monitoring
- Nice to have: explainability
Skills
Benefits
- 401(k)
- Dental insurance
- Health insurance
- Life insurance
- Paid time off