2 of 2 ONNX Jobs in the South East

and inference times Developing customized efficient solutions for inference pipelines (CUDA/Triton kernels) as well as Introducing or enhancing tooling for achieving optimal computational performance (e.g. DL compilers, ONNX, TensorRT) Driving the adoption of best practices for large-model training, including checkpointing, gradient accumulation, and memory optimisation among others Introducing or enhancing tooling for distributed training, performance monitoring, and More ❯

lifecycle. Experience implementing model governance, including versioning, monitoring, drift detection, and reporting. Familiarity with MLOps tools such as MLflow, Kubeflow, or DVC. Programming skills in Scala. Experience working with ONNX and ONNX Runtime for model optimization and deployment. Experience mentoring or supporting colleagues to help them grow their technical skills. Benefits Our perks and quirks. What makes you Q will More ❯