Jumio India specializes in advanced identity verification solutions, utilizing cutting-edge technology to enhance security and customer trust for businesses worldwide.
Jaipur, Rajasthan
Jumio, the creator of Netverify® Trusted Identity as a Service, enables businesses to reduce fraud and increase customer conversions while providing a seamless customer experience. With Netverify Trusted Identity as a Service, customers have a complete identity verification solution that can be tailored to fit their specific business requirements. With over 80 million identities Jumio uses computer vision technology, machine learning and live verification experts to verify credentials (e.g., passports, drivers licenses, etc.) issued by over 200 countries. Our technology powers businesses with scalable, secure and compliant identity verification, which enables them to build and sustain trust in an increasingly unsafe digital world. Based in Palo Alto, California, and funded by Centana Growth Partners and Millennium Technology Value Partners, Jumio has Operational Offices in Jaipur and Udaipur. India office is an integral part of Jumio's business operations in the US, Europe, and Asia Pacific and has been the recipient of numerous awards for innovation, including this year’s Frost & Sullivan’s North American Entrepreneurial Company of the Year for the Biometric Security Solutions Industry. Jumio is widely considered to be the largest and most accurate solution in the market and used by leading companies in the financial services, sharing economy, retail, travel, blockchain and online gaming sectors.
Remote · Montreal, Quebec, Canada
Lead the design and scaling of production-ready computer vision systems for biometric face recognition and attributes. Own the end-to-end ML pipeline from data ingestion and curation to low-latency deployment on AWS.
Remote · Montreal, Quebec, Canada
Design and develop end-to-end computer vision models and pipelines for biometrics use cases such as face detection and recognition. Optimize models for low-latency inference and mentor other ML engineers on technical best practices.
Remote · Montréal, Quebec, Canada
Lead the design and development of computer vision and biometric systems, including face recognition and quality assessment. Own the end-to-end machine learning pipeline from data ingestion and synthetic data generation to production deployment on AWS.
