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Job Description
<p>Key Responsibilities:<br/><br/>- Design, develop, and optimize machine learning models for classification, regression, and recommendation systems.<br/><br/>- Build end-to-end machine learning pipelines from data preprocessing to model deployment.<br/><br/>- Develop and fine-tune deep learning architectures using TensorFlow and PyTorch.<br/><br/>- Apply MLOps best practices for model versioning, monitoring, and retraining.<br/><br/>- Work with large-scale datasets performing feature engineering and data augmentation.<br/><br/>- Optimize model performance for scalability, latency, and production readiness.<br/><br/>- Deploy AI models using containerization and cloud platforms such as Azure.<br/><br/>- Research and implement cutting-edge AI techniques to improve existing systems and integrate them into production.<br/><br/>- Collaborate with data scientists and engineers to integrate AI capabilities into real-world applications<br/><br/></p> (ref:hirist.tech)
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