Posted:2 hours ago|
Platform:
Work from Office
Full Time
1.Design and implement anomaly detection models using statistical and unsupervised learning techniques.
2.Optimize AI models for edge devices.
3.Work with time-series and sensor data, applying appropriate preprocessing, noise reduction, and feature extraction techniques.
4.Utilize deep learning architecture such as CNNs, RNNs, LSTM, GRU, and GANs.
5.Perform model evaluation, optimization, cross-validation, and hyperparameter tuning.
6.Visualize and analyze datasets using Python tools like Pandas, Matplotlib, and Seaborn.
7.Collaborate with cross-functional teams to translate business needs into AI-powered solutions.
1.Sensor data processing (noise reduction, feature extraction, preprocessing techniques).
2.Gen AI and applying RAG technique would be added value.
Interested candidate kindly share me your updated CV at jeeva@bvrpc.com
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