Principal Machine learning Engineer

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Descrizione

Principal Machine Learning Engineer Our client is hiring a Principal Machine Learning Engineer to build and improve the core ML systems behind its consumer applications, spanning LLMs, agents, long running workflows, persistent context and memory, tool use, inference and evaluation. This is a hands on individual contributor role with technical leadership responsibility, working closely with Research and Application Engineering to take complex ML problems from experimentation into production. What you will do Own ML systems from experimentation and evaluation through deployment and ongoing improvement Build reliable model and agent capabilities that support real product experiences Develop evaluations to understand model behaviour, measure quality and identify failures Improve production performance across latency, reliability, safety and cost Apply training, fine tuning or inference improvements where they solve the problem Set technical direction within your area, mentor engineers and stay close to implementation What we are looking for Excellent Python skills, strong ML fundamentals and practical experience with PyTorch or JAX Personal ownership of production ML systems, including implementation, deployment and operation Ability to independently solve complex, ambiguous ML problems and ship measurable improvements Strong understanding of evaluation, model behaviour and production trade offs Robust software engineering practices and the ability to collaborate across research

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