AI Engineer
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The role
Lead end-to-end AI infrastructure and AI-driven applications, from concept to production.
Collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact AI opportunities.
Develop automated systems for training, validation, and monitoring to ensure model reliability and uptime.
Provide technical leadership in selecting and integrating AI/ML frameworks across diverse hardware and software environments.
Create and maintain feature stores, model stores, and scalable research frameworks.
Diagnose performance bottlenecks and optimize GPU/CPU usage to enable scalable, reproducible ML research.
Collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact AI opportunities.
Develop automated systems for training, validation, and monitoring to ensure model reliability and uptime.
Provide technical leadership in selecting and integrating AI/ML frameworks across diverse hardware and software environments.
Create and maintain feature stores, model stores, and scalable research frameworks.
Diagnose performance bottlenecks and optimize GPU/CPU usage to enable scalable, reproducible ML research.
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