Your focus:
- End-to-end trainingpipeline: design and build the on-prem ML pipelinecovering the fulltraininglifecycle
- Model optimization & edgedeployment: pruning, quantization, and deployment to edgedevices for real-time LiDAR applications
- Model evaluation and benchmarking on our servers as well as on our target devices
- Self-service for ML engineers: build platform capabilities that let ML engineers deploy independently, working cross-functionally with ML, Data, and DevOps
