About the role
- 5+ years of hands-on development experience in AI/ML.
- Strong knowledge of ML libraries (TensorFlow Lite, PyTorch Mobile, ONNX).
- Experience with edge hardware platforms (e.g., Raspberry Pi, Nvidia Jetson, etc..).
- Proficient in Python and C/C++.
- Familiarity with performance optimization techniques for models on edge.
- Experience with REST APIs, messaging protocols, or low-latency data streaming.
- Ability to perform predictive and statistical analysis from different data source
- knowledge and hands-on experience of building and deploying AI models on edge devices.
- knowledge of embedded systems, microcontrollers, or low-power compute devices.
- Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines
- Experience with Image Processing, Computer Vision, Pattern Recognition, Machine Learning and Linear algebra.
- knowledge and exposure to model optimization techniques.
- Experience with AI accelerator frameworks