Senior Machine Learning Engineer, ML Platform

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Description

The Senior Machine Learning Engineer, ML Platform is responsible for building, running, and evolving the ML monorepo used by the X-ray, CT, and MRI machine learning group at DeepHealth. The monorepo covers the full path from experimentation to product: dataset and sample definitions, training and evaluation code, experiment tracking, model export, and the inference servers that run in production. Everyone on the team contributes to the monorepo; this role is the single point of accountability for it. This hands-on role owns the architecture, tooling, and engineering standards of that codebase for a distributed team of about twenty machine learning engineers and scientists, working with model developers and software engineers to make the team’s work fast, better, and easier to audit. It also leads the team's agentic coding strategy, shaping how AI coding agents are used across the codebase. The role reports to the Leader of the ML for X-ray/CT/MRI group. Essential Duties and Responsibilities Own the architecture and roadmap of the ML Monorepo: Module boundaries, shared abstractions for datasets and samples, training and evaluation loops, configuration, and experiment tracking. Build and run the engineering tooling around the codebase: Continuous integration, testing, dependency management, containers, artifact and model registries, and GPU job scheduling on cloud (GCP) and HPC infrastructure. Own the path from trained checkpoint to deployable model: Model packaging, infere

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