At Devx Staffing, we've built deep expertise in TensorFlow recruiting. We understand the nuances between research scientists who design novel architectures and custom ops, ML engineers who productionize models with TFX, SavedModel and TF Serving, data scientists who prototype rapidly with Keras and tf.data, and edge/frontend engineers who optimize and convert models for TF Lite or TF.js. We know the practical differences between TF1 graph workflows and TF2 eager/Keras patterns, distributed training on GPUs/TPUs, XLA and TensorRT performance tuning, and model optimization techniques like quantization and pruning. That depth lets us match companies with TensorFlow talent who meet their specific technical needs across research, production, and edge deployment.