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MLOps Platform Engineer

at CGI

Back to all Cloud & DevOps jobs
C
Industry not specified

MLOps Platform Engineer

at CGI

Mid LevelNo visa sponsorshipAWS/GCP/Azure DevOps

Posted 9 hours ago

No clicks

Compensation
Not specified USD

Currency: $ (USD)

City
Reston
Country
United States

MLOps Platform Engineer responsible for building and maintaining scalable ML deployment platforms, automating CI/CD workflows for machine learning models, and ensuring reliable operation in cloud environments. The role involves designing tooling for model training, deployment, monitoring, and governance, and collaborating with data scientists, software engineers, and platform teams. You will implement infrastructure as code, container orchestration, and observability to support end-to-end ML lifecycle at scale. This is a hands-on role ideal for someone with experience in ML workflows, cloud platforms, and DevOps practices.

Category: Software Development / Engineering | City: Reston | Country: United States — We apologize for the inconvenience... ...but your activity and behavior on this site made us think that you are a bot. Note: A number of things could be going on here. If you are attempting to access this site using an anonymous Private/Proxy network, please disable that and try accessing site again. Due to previously detected malicious behavior which originated from the network you're using, please request unblock to site. Incident ID: 28f57e78-dcvu-4cd2-8d4f-31a84d1e23b1 Please solve this CAPTCHA to request unblock to the website

MLOps Platform Engineer

at CGI

Back to all Cloud & DevOps jobs
C
Industry not specified

MLOps Platform Engineer

at CGI

Mid LevelNo visa sponsorshipAWS/GCP/Azure DevOps

Posted 9 hours ago

No clicks

Compensation
Not specified USD

Currency: $ (USD)

City
Reston
Country
United States

MLOps Platform Engineer responsible for building and maintaining scalable ML deployment platforms, automating CI/CD workflows for machine learning models, and ensuring reliable operation in cloud environments. The role involves designing tooling for model training, deployment, monitoring, and governance, and collaborating with data scientists, software engineers, and platform teams. You will implement infrastructure as code, container orchestration, and observability to support end-to-end ML lifecycle at scale. This is a hands-on role ideal for someone with experience in ML workflows, cloud platforms, and DevOps practices.

Category: Software Development / Engineering | City: Reston | Country: United States — We apologize for the inconvenience... ...but your activity and behavior on this site made us think that you are a bot. Note: A number of things could be going on here. If you are attempting to access this site using an anonymous Private/Proxy network, please disable that and try accessing site again. Due to previously detected malicious behavior which originated from the network you're using, please request unblock to site. Incident ID: 28f57e78-dcvu-4cd2-8d4f-31a84d1e23b1 Please solve this CAPTCHA to request unblock to the website

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