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Machine Learning: Proficient in building and deploying ML models using libraries such as TensorFlow, PyTorch, and Scikit-learn. Experienced in supervised and unsupervised learning, deep learning architectures, and performance optimization. Skilled in data preprocessing, feature engineering, and model evaluation techniques. Practical exposure to real-world projects involving image classification, natural language processing, and time-series forecasting. Familiar with MLOps practices, inc
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Assistant Professor (Grade-III)
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Assistant Professor (Grade-III)
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