Senior Director, Machine Learning
Entrupy — Bengaluru, Karnataka, India
About Entrupy Entrupy is a global technology company whose mission is to protect businesses, borders and consumers from transacting in counterfeit goods. Entrupy has developed a patented technology system which utilizes a combination of AI and computer vision to instantly identify and authenticate high value physical goods. Entrupy’s solutions serve business customers including leading luxury brands, retailers, e-commerce marketplaces and online resellers in over 60 countries. Entrupy is growing quickly with team members based in the US, India, Japan and Brazil. Entrupy’s solutions in market: ● Entrupy Apparel Authentication ● Entrupy Bags & Leather Goods Authentication ● Entrupy Sneaker Authentication ● Entrupy Fingerprinting As we continue to build... We’re seeking curious, growth minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply. About the role We are looking for a Senior Director of Machine Learning to lead and scale our computer vision and ML efforts, with teams based in India and Europe. This role goes beyond individual contribution - you will be responsible for defining the long-term ML vision, building and leading high-performing global teams, and driving the development of production-grade systems that power item authentication and fingerprinting at scale. You will own the end-to-end ML strategy from research and algorithm development to deployment, infrastructure, and continuous improvement, ensuring alignment with business goals and customer impact. This is a highly cross-functional leadership role requiring deep technical expertise, strong organizational leadership, and the ability to operate effectively across geographies. As a senior leader, you will shape the future of our ML capabilities, strengthen India as a core hub, and drive collaboration across distributed teams.
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