ML Engineer

• Develop and deploy machine learning models using Python, TensorFlow, and PyTorch.
• Collaborate with cross-functional teams to identify business problems and develop solutions.
• Design and implement data pipelines and architectures for large-scale data processing.
• Work closely with stakeholders to understand requirements and deliver high-quality results.
• Implement automated testing and deployment scripts using MLOps tools.
• Continuously monitor model performance and retrain as necessary.

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