Job Title

Role Value:As a Machine Learning Engineer IV., you will have the opportunity to significantlyimpact the security and user experience of our ID verification solutions. Your expertise indeep learning and computer vision will drive the development of innovative algorithms thatkeep Organisation at the forefront of the industry. By deploying and maintaining these models inproduction, you will ensure the robustness and reliability of our solutions, supporting ourclients across diverse industries such as Financial Services, Travel, Sharing Economy,Fintech, and Gaming. Your contributions will be pivotal in maintaining Organisation's reputation asthe leading provider of online identity verification solutions, helping to meet the growingdemand for secure and seamless user verification globally.Example ResponsibilitiesDevelop, maintain, and own key fraudulent CV models of Organisation, which shapes thewhole fraud product offering of Organisation.Design and implement machine learning, deep learning, classical CV focused onfraud detection.Research to support the deployment of the advanced algorithms.Deploy models as AWS SageMaker endpoints or directly onto devices.Stay updated with the latest advancements in machine learning, deep learning, andcomputer vision by engaging with academic papers and attending industryconferences.Work collaboratively with other engineers and product managers in an Agiledevelopment environment.Experience and QualificationsBachelor's or Master's degree in Computer Science, Data Science, MachineLearning, or a related field.A minimum of 6+ years of commercial experience in the field of machinelearning/deep learning, not including time spent studying (2 years with Master’s).Must have: experience with training of DL models for deep fakes, synthetic data, orgen AI data detection.Deep understanding of how to convert ML metrics to product goals.Hands-on experience with PyTorch or TensorFlow, SKLearn, and in developingproduction-grade Python code.Demonstrated experience in implementing best practices for monitoring andmaintaining ML models in production environments.Strong communication and problem-solving skills.Great to have Experience and QualificationsExperience in working with LLM or VLM’s.Work with image or video generation.Experience with cloud environments - AWS / GCP.Experience in working in global organizations across several time zones