- Seeking a skilled On-Device ML Engineer robust in Python, NumPy, Pandas, and data visualization
- Must have expertise in PyTorch or TensorFlow for model training and exporting, with a proven track record of converting models to formats like ONNX, TFLite, and Core ML
- Responsibilities include designing and deploying models for vision, NLP, and audio tasks onto mobile platforms (Android, iOS, Flutter), optimizing performance via NDK/C++, and profiling acceleration on various hardware (CPU/GPU/TPU)
- Familiarity with platforms like Google Colab and Amazon SageMaker is essential.