ML Engineer

Design and manage scalable GPU infrastructures for model training and inference. Build automated pipelines that accelerate ML workflows, implement feedback loops for continuous learning, and enhance model efficiency in resource-constrained environments. Evaluate and integrate inference platforms like NVIDIA Triton and vLLM to ensure high availability, scalability, and reliability of deployed models. Work closely with applied scientists, software engineers, and DevOps professionals to deploy models that drive the company's mission forward. Document best practices to support team knowledge sharing and improve code quality and reproducibility.

Witness AI provides security solutions for enterprise AI