Role overview
Role Purpose: The Machine Learning Engineer IV will play a critical role in advancing Jumios Fraud teams mission to develop and enhance state-of-the-art solutions for fraud detection for ID verification purposes. This role is essential for ensuring the highest standards of security and user verification through the application of advanced machine learning and deep learning techniques, ultimately contributing to Jumios leadership in the online identity verification, eKYC, and AML solutions market
Role Value: As a Machine Learning Engineer IV at Jumio, you will have the opportunity to significantly impact the security and user experience of our ID verification solutions. Your expertise in deep learning and computer vision will drive the development of innovative algorithms that keep Jumio at the forefront of the industry. By deploying and maintaining these models in production, you will ensure the robustness and reliability of our solutions, supporting our clients across diverse industries such as Financial Services, Travel, Sharing Economy, Fintech, and Gaming. Your contributions will be pivotal in maintaining Jumios reputation as the leading provider of online identity verification solutions, helping to meet the growing demand for secure and seamless user verification globally.
What you'll work on
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- Develop, maintain, and own key fraudulent CV models of Jumio, which shapes the whole fraud product offering of Jumio.
- Design and implement machine learning, deep learning, classical CV focused on fraud 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, and computer vision by engaging with academic papers and attending industry conferences.
- Work collaboratively with other engineers and product managers in an Agile development environment.
What we're looking for
- Experience in working with LLM s or VLM s.
- Work with image or video generation.
- Experience with cloud environments - AWS / GCP.
- Experience in working in global organizations across several timezones