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Machine Learning Engineer/SRE
Summary by AIEngineer.careers
Machine Learning Engineer/SRE is a MLOps Engineer role (full-time). with Reputed Company. in REMOTE, CHICAGO, US. Imported listing (source: us.remotejobs.dedyn.io). Apply on the employer's site (us.remotejobs.dedyn.io).
Imported listing (source: us.remotejobs.dedyn.io) · Apply on us.remotejobs.dedyn.io
REMOTE · CHICAGO · US
—
Full-time
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from us.remotejobs.dedyn.io
Hybrid Machine Learning Engineer and Site Reliability Engineer role focused on developing, deploying, and managing ML models in production. The engineer will manage Azure infrastructure supporting AI development, monitor model performance, and respond to outages and incidents. Position is based in Chicago, IL or remote within the USA.
Responsibilities
- Develop, deploy, and manage machine learning models in production
- Manage Azure infrastructure supporting AI development
- Monitor model performance and reliability
- Respond to outages and incidents, driving resolution
Requirements
- Experience developing and deploying ML models in production environments
- Hands-on experience with Azure cloud infrastructure
- Familiarity with monitoring and incident response practices
Nice to Have
- Site Reliability Engineering (SRE) experience
- Experience with MLOps tooling and model performance monitoring
Tech Stack
Azure
Reputed Company
Edmonton · CA · 552+ employees
Reputed is a full-service digital marketing agency specializing in online reputation management. Its related offerings include social media marketing, listing distribution, SEO, and web design and development.
