Develop and deploy machine learning models that process and analyze IoT (Internet of Things) signal data.
Work with large-scale sensor data from connected devices to build predictive models, anomaly detection systems,and real-time decision-making algorithms.
The ideal candidate should have a strong background in signal processing,deep learning, edge AI, time-series analysis, and ML model deployment in IoT environments.
Investigate state-of-the-art ML/DL techniques analysis.
Develop novel approaches for unsupervised/semi-supervised learning in low-label IoT environments.
Explore federated learning, continual learning, and reinforcement learning for adaptive IoT systems.
Proficiency in Python, TensorFlow/PyTorch, and scikit-learn.
Experience with signal processing libraries (SciPy, librosa, PyWavelets).
Familiarity with IoT protocols (MQTT, CoAP) and edge computing.
Base Salary Range: $90,000 - $120,000 per annum