Description
Faculty is looking for a Machine Learning Engineer to join its team. The company was established in 2014 and has worked with over 350 global customers to transform their performance through human-centric AI.
The role involves building and deploying production-grade ML software, tools, and infrastructure, creating reusable and scalable solutions, collaborating with engineers and data scientists, leading technical scoping and architectural decisions, defining and implementing standards for deploying machine learning at scale, and acting as a technical advisor to customers and partners.
The ideal candidate will have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch, strong Python skills, experience with cloud platforms and infrastructure, hands-on experience with container and orchestration tools, and excellent communication skills.
The interview process consists of a Talent Team Screen, Pair Programming Interview, System Design Interview, and Commercial Interview.
Faculty aims to grow a diverse team and encourages applications from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.
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