At least several years of experience as DevOps or a similar role (required)

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)

Python (excellent, required),

Experience with MLOps (W&B, MLFlow) and deep learning frameworks a plus (PyTorch, PyTorch Lightning, …)

Software engineering best practices, the aim of writing high performant, modern, bug free code, proper documentation of code, unit-testing, code quality, etc. (required)

Good working knowledge of Linux environments, Git-based workflows, GitHub Actions, containerization (Docker) and orchestration (Kubernetes)

Experience with MLOps (W&B, MLFlow) and deep learning frameworks a plus (PyTorch, PyTorch Lightning, …)

Cloud computing infrastructure, in particular AWS (preferred)