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Chefman, through its CHEF iQ ecosystem, redefines the home cooking experience by developing connected kitchen appliances powered by smart technology. Serving busy parents, professionals, and home cooking enthusiasts, the company builds products designed to empower users of all skill levels to expand their culinary horizons and enjoy perfectly cooked food. Its product lineup includes the iQ Cooker, the iQ Sense wireless cooking thermometer, and the iQ MiniOven, all integrated with the CHEF iQ app to provide guided cooking experiences and remote monitoring.

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About Chefman

Chefman, through its CHEF iQ ecosystem, redefines the home cooking experience by developing connected kitchen appliances powered by smart technology. Serving busy parents, professionals, and home cooking enthusiasts, the company builds products designed to empower users of all skill levels to expand their culinary horizons and enjoy perfectly cooked food. Its product lineup includes the iQ Cooker, the iQ Sense wireless cooking thermometer, and the iQ MiniOven, all integrated with the CHEF iQ app to provide guided cooking experiences and remote monitoring.

In its technology and development work, the company utilizes intelligent systems, machine learning, computer vision, and Generative AI applications to power the next generation of connected cooking experiences. The company is actively building out its technical teams to support these AI capabilities, focusing on roles such as an MLOps Engineer / DevOps Engineer. This open role is based onsite in Mahwah, New Jersey, and requires candidates to be legally authorized to work in the United States on a permanent and ongoing basis without visa sponsorship.

The engineering teams are focused on creating scalable cloud infrastructure, deployment pipelines, and automation frameworks to support model training, deployment, and lifecycle management. By partnering closely with Machine Learning Engineers, these teams build the operational foundations necessary for applications utilizing AWS Bedrock, foundation models, and large language models in production environments.

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