Cloud Platform Engineer AI/ML & MLOps
Listed on 2026-10-13
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IT/Tech
Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software), Machine Learning/ ML Engineer, SRE/Site Reliability
Capgemini seeks an experienced platform engineer to build and scale AI platform infrastructure in Charlotte, NC. You will design scalable GCP cloud infrastructure for AI/ML workloads and manage CI/CD pipelines and MLOps pipelines across the ML lifecycle.
You will containerize services with Docker/Kubernetes, implement IaC with Terraform, and ensure security and observability. This is an onsite contract role with Capgemini, partnering with AI/ML teams to product ionize models.
For the Contract Cloud Platform Engineer for AI/ML & MLOps position at Capgemini, we are reviewing applications now.
Full responsibilities and requirements are described in the listing above.
Learn more about the Contract Cloud Platform Engineer for AI/ML & MLOps role in the description above.
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