Enabling safe and rewarding digital lives for genuine people, everywhere
We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification.
With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live.
About the team and role
CVML Team
At the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting‑edge technologies, aiming to provide unparalleled solutions for document verification and digital trust.
Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation.
As a Computer Vision and Machine Learning (CVML) Engineer, you will be responsible for developing Machine Learning (ML) models. You will collaborate with the CVML team on solving problems and contribute toward an Agile process, as well as, supporting the CVML model deployment and production monitoring processes.
What you will do
- Be Involved in research and development efforts to advance product‑critical computer vision and machine learning solutions.
- Implement and evaluate the newly developed algorithms in large‑scale databases to validate the performance in both throughput and accuracy.
- Assist in computer vision projects through the planning, data collection, annotation, training, deployment, and iteration phases.
- You will be working with scientific computation package
📌 Computer Vision (Ciudad de México)
🏢 Gbg
📍 Ciudad de México
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