Dummy Engineer (9999)

About GBGEnabling safe and rewarding digital lives for genuine people, everywhere.
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 focus on enabling safe and rewarding digital lives for everyone.About The Team And RoleCVML Team at GBG's Documents and Biometrics portfolio focuses on creating unique AI models for KYC verification.
We drive development of cutting‐edge technologies for document verification and digital trust, collaborating across expertise under Agile methodology.CVML EngineerAs a Computer Vision and Machine Learning Engineer, you will develop ML models, collaborate on CVML problems, and support model deployment and production monitoring.What You Will DoBe involved in research and development to advance product‐critical computer vision and machine learning solutions.Implement and evaluate new algorithms in large‐scale databases to validate performance in throughput and accuracy.Assist in computer vision projects through planning, data collection, annotation, training, deployment, and iteration phases.Work with scientific computation packages in Python and C++.
Use OpenCV, Keras, PyTorch, TensorFlow, or similar deep‐learning frameworks.Skills We're Looking ForBachelor's or higher in Computer Science, Electrical Engineering, or related field.Excellent communication and collaboration abilities.A strong work ethic and dedication.Familiarity with convolutional neural networks, recurrent neural networks, and transformer models.Knowledge and experience in Python and C++.
Experience training deep learning models using Keras, PyTorch, JAX or TensorFlow.To find out moreAs an equal‐opportunity employer, we are dedicated to creating a diverse and inclusive workplace.
Please inform our Talent Attraction Partner if you require reasonable adjustments to the interview process.
For benefits and more information, email ****** or visit gbgplc.com/careers.Unleash your potential and be part of our mission to power safe and rewarding digital lives.
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