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Senior ML Engineer - LLMs & Agentic AI
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The role
Lead design, development, and productization of advanced LLM-based, agentic, and generative AI pipelines integrated with hardware and software workflows.
Architect scalable ML systems for on-device, on-prem, cloud, and hybrid GPU environments, enabling intelligent workflows, anomaly detection, and automated scripting.
Collaborate with RF, EM, circuit design, and measurement experts to translate domain constraints into practical ML requirements.
Develop production-grade code in Python, C++, and CUDA with CI/CD, testing, documentation, and performance profiling.
Research and apply cutting-edge techniques in LLMs, instruction tuning, RLHF, RAG, and multimodal models to continuously enhance capabilities.
Partner with product teams to integrate ML-driven features into commercial software and hardware products while ensuring reliability and scalability.
Architect scalable ML systems for on-device, on-prem, cloud, and hybrid GPU environments, enabling intelligent workflows, anomaly detection, and automated scripting.
Collaborate with RF, EM, circuit design, and measurement experts to translate domain constraints into practical ML requirements.
Develop production-grade code in Python, C++, and CUDA with CI/CD, testing, documentation, and performance profiling.
Research and apply cutting-edge techniques in LLMs, instruction tuning, RLHF, RAG, and multimodal models to continuously enhance capabilities.
Partner with product teams to integrate ML-driven features into commercial software and hardware products while ensuring reliability and scalability.
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