Machine Learning Engineer

• Upgrade ML assets (models, data) management systems for better developer experience and robust governance capabilities
• Build and optimize model serving infrastructure with a focus on inference latency and cost optimization
• Architect efficient inference pipelines that balance latency, throughput, and cost across various acceleration options
• Implement cost-efficient, enterprise-scale solutions
• Collaborate in a cross-functional, distributed team for continuous system improvement
• Work with MLEs, QA Engineers, and DevOps Engineers
• Evaluate and implement new technologies and tools
• Contribute to architectural decisions for distributed ML systems

SDE III – MLOps

AI Scientist

Senior AI Engineer

AI Engineer

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