Description:
Android AI ML Engineer - On-Device | Multinational Manufacturing Client Build intelligent, privacy-first mobile systems that detect and respond to real-world conditions. Deploy resource-efficient ML models directly on Android devices with secure backend integration. Key Responsibilities: Deploy ML models on Android devices using TensorFlow Lite, ML Kit, MediaPipe, PyTorch MobileOptimize mobile performance for model size, memory usage, and latencyIntegrate apps with backend systems for model mana
Aug 4, 2025;
from:
dice.com