Model Optimization and Performance Tuning

ML engineers are responsible for optimizing model inference time and resource usage. Skills in quantization, pruning, and other model compression techniques, as well as experience with hardware accelerators like GPUs and TPUs, enable efficient deployment. Familiarity with monitoring tools to track model performance in production is also important.