ML Software Engineer

Candidate has to be strong communication skills; Lifesciences industry experience is preferred Must-have Skills Or Experiences Experience in building and applying ML (not hosted LLM) systems with frameworks such as PyTorch, TensorFlow, JAX Experience in building training data processing pipelines for image data Experience in in MLOps lifecycles (model training, model validation, model deployment, quality monitoring) *Though we would also consider similar experiences to the above, for instance building data processing pipelines for proteomics data instead of image data, etc. Python (excellent, required) - Software engineering best practices, the aim of writing high performant, modern, bug free code, proper documentation of code, unit-testing, code quality, etc. (required) PyTorch (required good working knowledge) Desirable Skills Or Experiences TypeScript/Node/JavaScript (desirable) Experiment tracking platforms such as Weights & Biases, MLFlow (past experiences) Processing platforms, such as Kubeflow (optional) Computer Vision problems (recommended), e.g. experience with OpenCV (optional) Cloud computing infrastructure, in particular AWS (recommended) Working in a regulated environment, developing code under pre-set regulatory rules (nice to have)