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.
Requirements
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
Benefits
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
Questions? Get in touch with the recruitment person hiring for this position!
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* Please Note: different job opportunities may have a slightly different version of this process.
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