Machine Learning Engineer

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Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Are you passionate about turning complex business challenges into reliable, production-ready AI and machine learning solutions? This is a cross-domain engineering role spanning solution architecture, cloud infrastructure, software development, data science, and machine learning operations. You will help clients move from experimentation to production by designing and building secure, scalable platforms and delivery practices across the full AI/ML lifecycle. The ideal candidate combines a strong working grasp of data science and machine learning with engineering rigour: they can reason about system architecture, provision cloud infrastructure with Terraform, build automated delivery pipelines, write production-quality code and scripts, and operate reliable services in production. What You'll Design, Build & OwnBuild end-to-end solutions: Translate business and data challenges into scalable, secure, observable technical architectures. Build cloud foundations and infrastructure as code: Design and provision environments using Terraform, apply so

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