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

• 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  

Must have

• PyTorch
• TensorFlow
• MLOps
• Python