Role overview
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.
What we're looking for
- 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)
- 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
- Hybrid work mode ( 1-2 days/per week from customer office in Warsaw)
- Professional training programs – including Udemy and other development plans
- Work with a team that’s recognized for its excellence. We’ve been featured in the Deloitte Technology Fast 50 & FT 1000 rankings. We’ve also received the Great Place To Work® certification for five years in a row
Tags & focus areas
Used for matching and alerts on DevFound Machine Learning Computer Vision Mlops Pytorch Tensorflow Generative Ai Ai