We are looking for experienced team players to fill the position of DevOps Engineer and participate in our up-and-coming project for our client from pharmaceutical industry.

• 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. 
• 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)  

Must have

• DevOps
• PyTorch
• TensorFlow
• MLOps
• Python
• MLflow
• Deep learning
• Linux
• Git
• GitHub Actions
• Docker
• Kubernetes
• Cloud computing
• AWS