MLOps Engineer / AI Infrastructure Engineer (GPU + Kubernetes)

We are hiring a

hands-on MLOps / AI Infrastructure Engineer

to build and operate

high-performance GPU clusters and Kubernetes environments

supporting advanced AI workloads.

✔ Work on

NVIDIA A100 / H200 GPU clusters

✔ Own

end-to-end MLOps pipelines \& model deployment

✔ Build

bare-metal Kubernetes (GPU workloads)

✔ Work with

InfiniBand / RDMA / high-performance networking

✔ Implement

MLflow / Kubeflow / Triton serving

💰 Salary: $150K \+ Bonus \+ Equity

🌎 Remote (US)

👉 Looking for engineers with

deep GPU \+ Kubernetes \+ MLOps experience

📩 Apply or message me directly