Senior Machine Learning DevOps Engineer

Job Summary

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