Waabi is a leader in Physical AI focused on autonomous transportation. They are seeking a Senior/Staff MLOps Engineer to design and implement MLOps pipelines for continuous deployment of machine learning models. The role involves collaboration with data scientists and engineers, automation of training and deployment, and monitoring of model performance.
Responsibilities
Design, develop, and implement MLOps pipelines for continuous deployment and integration of machine learning models.
Collaborate with data scientists and engineers to understand model requirements and optimize pipeline processes.
Automate the training, testing, and deployment processes for machine learning models.
Continuously monitor and maintain model pipelines, ensuring optimal performance, accuracy, and reliability.
Optimize machine learning pipelines for scalability, efficiency, and cost-effectiveness.
Ensure compliance with security and data privacy standards in all MLOps activities.
Requirements
3-5 years of experience in MLOps, DevOps, or a related field.
Bachelor’s degree in Computer Science, Data Science, or a related field.
Strong understanding of machine learning principles and model lifecycle management.
Proficiency in Python and hands-on experience with TensorFlow or PyTorch.
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