<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> Candidate has to be strong communication skills; <strong>Lifesciences industry experience is preferred<br/><br/></strong><strong>Must-have Skills Or Experiences<br/><br/></strong><ul><li>Experience in building and applying ML (not hosted LLM) systems with frameworks such as PyTorch, TensorFlow, JAX</li><li>Experience in building training data processing pipelines for image data</li><li>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.</li><li>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)</li><li>PyTorch (required good working knowledge)<br/><br/></li></ul><strong>Desirable Skills Or Experiences<br/><br/></strong><ul><li>TypeScript/Node/JavaScript (desirable)</li><li>Experiment tracking platforms such as Weights &amp; Biases, MLFlow (past experiences)</li><li>Processing platforms, such as Kubeflow (optional)</li><li>Computer Vision problems (recommended), e.g. experience with OpenCV (optional)</li><li>Cloud computing infrastructure, in particular AWS (recommended)</li><li>Working in a regulated environment, developing code under pre-set regulatory rules (nice to have)<br/><br/></li></ul> </div>