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CVML Engineer

GBG
London
1 year ago
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Computer Vision Engineer

Computer Vision Engineer

Computer Vision Engineer

Senior Computer Vision Engineer

Senior Computer Vision Engineer

About GBG GBG is the leading expert in global identity and location. In an increasingly digital world, GBG helps businesses grow by giving them intelligence to make the best decisions about their customers, when it matters most. Every second, our global data, agile technology, and expert teams, power over 20,000 of the world's best-known organisations to reach and trust their customers. Why you should beGBG Reach The precision of location data is critical to businesses that need to know exactly where their customers are so they can reduce failed deliveries, share great customer experiences and remove unnecessary costs. We provide the unique insight to know locations as well as the people who live there, because we understand global addresses better than anyone else. This means our customers have confidence that their products and services will arrive in time and to the right location In the race to serve global customers, we exist to help every business in the world, reach every customer in the world. Trust When a digital business grows, most customers are genuine. However, many are fraudsters who manipulate identities to gain illegitimate access. We give our customers unique insight to decide which are trustworthy and which are fraudulent, because we understand identity better than anyone else. This means businesses can confidently onboard good customers, reward great customers and reject fraudsters. In the fight against Identity, Fraud, trust is key, so the more you can know and the earlier you know it, the better decisions you can make. About the 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. The role 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 Involve 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 packages in Python and C++ languages. You will be working with OpenCV, Keras, PyTorch, Tensorflow, or similar deep-learning frameworks. Requirements What We're Looking For 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 in training deep learning models using Keras, PyTorch, JAX or TensorFlow. Behaviours we'd like to see Benefits To find out more As an equal opportunity employer, we are committed to providing fair opportunities for everyone regardless of age, gender, race, religion, sexual orientation, parental status or disability. Everybody is welcome and our inclusion and diversity programme, be/yourself, is designed to ensure that you can thrive. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process. To chat to the Talent Attraction team and find out more about our benefits and why 93% of our team members would recommend us as a great place to work, drop an email to behiredgbgplc.com and we’ll be in touch. You can also check out our career site here . Why not apply and make lifeGBG work for you?

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