DevOps ML Ops Engineer
A company is looking for a DevOps / ML Ops Engineer to establish infrastructure, automation, and security across its systems.
Key Responsibilities:
Design and implement secure, reliable, and scalable cloud infrastructure
Build, manage, and scale CI/CD pipelines for fast and repeatable deployments
Design, build, and maintain infrastructure for deploying, monitoring, and updating machine learning models
Required Qualifications:
7-10+ years of experience in DevOps or Infrastructure Engineering, preferably with production ML systems
Bachelor's or Master's in Computer Science or a related field
Proven track record of building developer-friendly infrastructure
Hands-on experience with CI/CD tools
Strong knowledge of cloud platforms such as AWS, Azure, or GCP
A company is looking for a DevOps / ML Ops Engineer to establish infrastructure, automation, and security across its systems.
Key Responsibilities:
Design and implement secure, reliable, and scalable cloud infrastructure
Build, manage, and scale CI/CD pipelines for fast and repeatable deployments
Design, build, and maintain infrastructure for deploying, monitoring, and updating machine learning models
Required Qualifications:
7-10+ years of experience in DevOps or Infrastructure Engineering, preferably with production ML systems
Bachelor's or Master's in Computer Science or a related field
Proven track record of building developer-friendly infrastructure
Hands-on experience with CI/CD tools
Strong knowledge of cloud platforms such as AWS, Azure, or GCP