Senior AIOps Engineer

130 - 180 PLN/ godz./ godz.B2BB2B (netto)

SeniorZdalnie·WrocławFull-time·B2B

#470641·Dodano 6 dni temu·0

Źródło: nofluffjobs.com

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Tech Stack / Keywords

AIGPUCUDAKubernetes PyTorch MLflowDVCDevOpsMLOpsML

Podsumowanie oferty

You will own and develop the AI training platform for a client building on-device AI audio and speech products. You will keep GPU infrastructure efficient, equip researchers with tools, and support the path from trained model to edge deployment using CUDA, Kubernetes or Slurm, and PyTorch.

Wymagania

Senior-level experience in MLOps, AIOps, or ML infrastructure.
Hands-on experience with GPU infrastructure and CUDA.
Experience with Kubernetes and/or Slurm.
Experience with PyTorch training workflows.
Experience with MLflow, Weights & Biases, DVC, or similar tools.
Fluent English.

Nice to have:

Audio or speech ML experience.
Model export and optimisation for edge, including ONNX, quantisation, QNN, or TFLite.
Experience working closely with research teams.

Obowiązki

Own and develop the AI training platform, including GPU clusters, CUDA environments, and Kubernetes and/or Slurm.
Support PyTorch training workflows at scale.
Run experiment and data tooling such as MLflow, Weights & Biases, and DVC.
Manage pipelines for large audio datasets.
Support model export for edge devices.
Build tools that make researchers faster.

Inne informacje

Share on-call duty with the DevOps engineer.

CSHARK Sp. z o.o.

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