Embedded ML Engineer: Real-Time On-Device AI

Intelliswift - An LTTS Company is seeking an Embedded Machine Learning Engineer to deploy ML models on wearable, audio, and intelligent devices. The role emphasizes transitioning research models to production on resource-constrained hardware with a focus on latency, memory, and power efficiency. The candidate will train and fine-tune models using PyTorch or TensorFlow and develop high-performance C/C++ software for on-device inference, working closely with researchers and engineers in a J-18808…