ML Pipelines Orchestration engineer (Docker, Python, Apache Airflow) (offline)

We work with challenging commercial / industry projects involving complex Machine Learning pipelines, mainly focusing around Computer Vision. Your job will be to help design, set up, run and maintain such ML pipelines.

Senior candidates expected to have experience with ML toolkits: 
* TensorRT
* ONNX Runtime
* TensorFlow
* PyTorch
* MXNet

Please also mention if you have worked with: 
* Triton Inference Server (TensorRT Server)
* MLflow
* Kubeflow / kfserving
* Horovod
* Adlik

Note: It is not a problem if you don't have experience with the above technologies. Provided you have good Linux System Administration experience, basic Python and understanding of high load / scaling of cloud infrastructures, we'll be interested to speak with you!

About DeepX

We are a startup focused on Computer Vision and Machine Learning

Company website:
https://www.deepxhub.com/