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Develop and deploy machine learning models that process and analyze IoT (Internet of Things) signal data.

Requirements

• strong background in signal processing, deep learning, edge AI, time-series analysis, and ML model deployment in IoT environments.
• 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.

Responsibilities

• 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.
• 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.

Other

• BACHELOR OF COMPUTER SCIENCE