Jumio

Principal iOS Engineer responsible for architecting and advancing a high-scale native iOS SDK used by more than 100 million users. The role combines mobile development, SDK ownership, customer collaboration, and coordination with machine learning experts.

Lead the development of advanced machine learning and computer vision models that detect fraud in online identity verification. This role owns production ML systems, from research and training through deployment and monitoring.

Software Engineer II (QA) responsible for building automated web and API tests that improve the quality, reliability, and release confidence of scalable applications. The fixed-term role is based onsite in Bangalore and uses technologies including Java, JavaScript, Playwright, Selenium, Postman, and REST Assured.

Lead the architecture and evolution of backend services that deploy and serve machine learning models in production for biometrics. This senior technical role spans scalable backend systems, ML platform capabilities, and cross-team architectural leadership.

Senior Application Security Engineer responsible for strengthening Jumio’s applications, cloud infrastructure, and software development lifecycle through hands-on security engineering, penetration testing, and secure automation. The role partners closely with engineering teams to scale DevSecOps and mitigate critical security risks.

Lead the design, training, and production scaling of computer vision and face recognition systems for biometric identity solutions. This role combines deep ML research and engineering with fairness analysis, AWS deployment, and technical leadership.

Build scalable, high-performance infrastructure for ML model serving and lifecycle management as a Software Development Engineer III on Jumio’s MLOps team. The role focuses on inference optimization, ML asset governance, and enterprise-scale cloud solutions.

Lead the design, training, and production deployment of computer vision and biometric machine learning systems, with a focus on face recognition, fairness, and low-latency inference. This role owns end-to-end ML pipelines on AWS and mentors engineers across the Computer Vision team.