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Posted:4 days ago| Platform: 
Work from Office
Full Time
Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment Collaborate with data scientists and software engineers to operationalize ML models Develop and maintain CI/CD pipelines for ML workflows Implement monitoring and logging solutions for ML models Optimize ML infrastructure for performance, scalability, and cost-efficiency Ensure compliance with data privacy and security regulations Strong programming skills in Python, with experience in ML frameworks Expertise in containerization technologies (Docker) and orchestration platforms (Kubernetes) Proficiency in cloud platform (AWS) and their ML-specific services Experience with MLOps tools Experience with ML model serving frameworks (TensorFlow Serving, TorchServe) Primary Skills Machine Learning CI/CD Pipelines Devops Secondary Skills Good Communication
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