3 of 3 MLOps Jobs in the North East

hands on experience delivering machine learning systems in production or a very strong software engineering background with clear motivation to grow into ML and MLOps Desirable skills (strong differentiators): Using AWS SageMaker for training, deploying, and operating machine learning workloads, or demonstrating equivalent experience on similar cloud ML platforms Exposing … machine learning models via APIs (e.g. FastAPI based inference services) and operating them reliably at scale Applying MLOps practices, including model and version management, monitoring, and handling model or data drift Implementing advanced service patterns such as asynchronous processing, event driven architectures, or multi version services Serving LLM or GenAI ...

hands‐on experience delivering machine‐learning systems in production or a very strong software‐engineering background with clear motivation to grow into ML and MLOps \n\n Desirable skills (strong differentiators): \n \n Using AWS SageMaker for training, deploying, and operating machine‐learning workloads, or demonstrating equivalent experience on similar … cloud ML platforms \n Exposing machine‐learning models via APIs (e.g. FastAPI‐based inference services) and operating them reliably at scale \n Applying MLOps practices, including model and version management, monitoring, and handling model or data drift \n Implementing advanced service patterns such as asynchronous processing, event‐driven architectures ...

hands‐on experience delivering machine‐learning systems in production or a very strong software‐engineering background with clear motivation to grow into ML and MLOps\ N\nDesirable skills (strong differentiators):\ N\nUsing AWS SageMaker for training, deploying, and operating machine‐learning workloads, or demonstrating equivalent experience on similar cloud … platforms\ NExposing machine‐learning models via APIs (e.G. FastAPI‐based inference services) and operating them reliably at scale\ NApplying MLOps practices, including model and version management, monitoring, and handling model or data drift\ NImplementing advanced service patterns such as asynchronous processing, event‐driven architectures, or multi‐version services\ NServing ...