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Architect, build, and manage comprehensive, highly scalable ML pipelines covering data
Partner deeply with Data Scientists to translate complex, theoretical ML models and algorithms into
Design, develop, and deploy highly extensible ML API services rigorously optimized for low latency
Devise and build advanced monitoring capabilities to track both engineering system health and ML
Architect solutions from scratch, leading Proof of Concept (POC) initiatives across various tech
Own the full lifecycle of feature delivery autonomously from requirement gathering with product

9+ years of progressive, highly relevant experience in software engineering and machine learning
A proven, demonstrable track record of successfully architecting, building, and productionizing
Deep, practical experience with modern MLOps practices, ensuring seamless, automated, and secure
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Mathematics, or a
Expert-level Object-Oriented Programming (OOP) expertise in Python and Java
Mastery of industry-standard ML libraries and Deep Learning frameworks, including PyTorch, Keras

Staff Engineer - Machine Learning

Meet JobCopilot: Your Personal AI Job Hunter