MLOps Software Engineer
Location: Remote
Compensation: Base+commission
Reviewed: Thu, May 22, 2025
This job expires in: 3 days
Job Summary
A company is looking for an MLOps Software Engineer to develop machine learning-powered features and infrastructure.
Key Responsibilities
- Develop and maintain MLOps platforms using Kubeflow and other ML tools for a unified development experience
- Collaborate with multi-functional teams to design and build scalable cloud-based services and APIs
- Monitor and optimize machine learning systems and infrastructure for performance and reliability
Required Qualifications
- 5 or more years of industry experience in software engineering
- Bachelor's and/or Master's degree in Computer Science or Computer Engineering
- Experience with cloud-based infrastructure, preferably AWS or GCP
- Proficiency in Python or Go with experience in building web applications and microservices
- Familiarity with CI/CD workflows and managing Kubernetes networks in production
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