Role Summary
We are seeking a highly skilled Solutions Engineer to work closely with our strategic enterprise customers deploying AI/ML workloads on high-performance GPU infrastructure.
This is a hands-on, customer-facing role requiring deep technical expertise in Kubernetes, MLOps and cloud infrastructure. You will guide customers through end-to-end deployment - owning the PoC process, optimizing workloads post-sale and serving as a critical technical voice between our customers and engineering teams.
Key Responsibilities
3–5 years experience building deploying containers workload .
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