Machine Learning Engineer

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)

Excellent Python programming skills

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)

Nice to have:

TypeScript/Node/JavaScript

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