Machine Learning Engineer with IoT applications

ML Engineer-IoT applications
Skills:
Design, develop, train, and deploy machine learning models for IoT applications.
Analyze real-time and historical data collected from IoT sensors and connected devices.
Develop predictive maintenance, anomaly detection, forecasting, and classification solutions.
Build data pipelines to process structured, unstructured, streaming, and time-series data.
Integrate ML models with IoT platforms, edge devices, cloud services, and embedded systems.
Strong expertise in AI/ML Engineering, including experience with supervised and unsupervised learning techniques.
Proficiency in programming languages such as Python, R, or Java.
Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Solid understanding of data structures, algorithms, and software engineering principles.
Hands-on experience with data manipulation and analysis tools (e.g., Pandas, NumPy).
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying ML models.

Work arrangement
Yes