ML Engineer
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About The Position
Our client is seeking a Machine Learning (ML) Engineer to join their team in New York, NY. This role focuses on optimizing trained models for inference and collaborating with the internal AI research team to integrate inference optimization into the training process. The ML Engineer will provide expertise to help customers deploy customized inference services on the cloud, ensuring that the solutions are tailored to meet specific needs. The position involves designing and developing tools and systems that facilitate ML cycles, with a strong emphasis on inference capabilities. In this role, the ML Engineer will deploy code and solutions across various environments, including batch processing and streaming/microservices architectures. As a domain expert in ML inference, the engineer will work closely with both internal teams and external customers to ensure the successful implementation of ML systems. Collaboration with MLOps team members is essential to design and implement scalable and efficient ML systems. The engineer will also be responsible for continuously improving deployment processes and infrastructure to enhance model performance and reliability. This position offers the opportunity to work with cutting-edge technology and make a significant impact on ML inference capabilities within a collaborative and inclusive work environment.
