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• No of position :- ( 1 )

• Post :- 28th Jul 2025

Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
8+ years of experience in developing and deploying machine learning models in production environments.
Strong understanding of anomaly detection techniques and algorithms.
Proficiency in Python and experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
Experience with data preprocessing, feature engineering, and model evaluation.
Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus.
Excellent communication and collaboration skills.
Strong analytical and problem-solving skills.
Passion for machine learning and a strong desire to learn and grow.