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:
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
Entrupy is seeking a ML-Ops Engineer to join our growing team supporting machine learning infrastructure and operations. This is a great prospect for someone early in their ML-Ops or data engineering career who is excited to work on real-world AI products and wants to grow their experience in deploying and managing machine learning systems in production.
As part of this role, you'll collaborate with experienced engineers, data scientists, and product teams to help streamline ML workflows—from model training and evaluation to deployment and monitoring.
Location: Bangalore, India (Hybrid)
Reports To: VP of Engineering
This role involves a mix of technical contribution, and operations work. In addition, this role will serve as a point of contact with various US-based and IN-based teams responsible for model delivery: annotation teams, infrastructure engineers, machine learning engineers, and products.