Data Scientist

Key Responsibilities - participate in Machine Learning project lifecycle: problem scoping, data acquisition, feature engineering, model training, evaluation, deployment, and monitoring - Develop and optimize machine learning models (classification, regression, clustering, ranking, recommendation) using Python and PyTorch - Basic Understanding on feature engineering pipelines and data preprocessing workflows at scale - Deploy models to production environments on cloud platforms using containerization - Monitor model performance in production, detect drift, and implement retraining strategies

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