Senior Machine Learning DevOps Engineer

A company is looking for a Senior Machine Learning DevOps Engineer. Key Responsibilities Architect and design end-to-end ML and CI/CD pipelines, including monitoring and cost management Implement automated ML pipelines for data preprocessing, model training, and deployment Mentor junior ML engineers and collaborate with cross-functional teams on MLOps best practices Required Qualifications Master's degree in Computer Science, Business Analytics, Machine Learning, or related field with 3 years of experience, or a Bachelor's degree with 5 years of experience 3 years of experience in ML model deployment and maintenance using tools like Arize, MLFlow, Docker, and Kubernetes Proficiency in Python, TensorFlow, PyTorch, scikit-learn, and ElasticSearch Experience with AWS tools such as SageMaker, CloudWatch, and S3 Knowledge of monitoring systems and resource management for model performance

Jun 18, 2025 - 17:40

A company is looking for a Senior Machine Learning DevOps Engineer. Key Responsibilities Architect and design end-to-end ML and CI/CD pipelines, including monitoring and cost management Implement automated ML pipelines for data preprocessing, model training, and deployment Mentor junior ML engineers and collaborate with cross-functional teams on MLOps best practices Required Qualifications Master's degree in Computer Science, Business Analytics, Machine Learning, or related field with 3 years of experience, or a Bachelor's degree with 5 years of experience 3 years of experience in ML model deployment and maintenance using tools like Arize, MLFlow, Docker, and Kubernetes Proficiency in Python, TensorFlow, PyTorch, scikit-learn, and ElasticSearch Experience with AWS tools such as SageMaker, CloudWatch, and S3 Knowledge of monitoring systems and resource management for model performance