Machine Learning Engineer (w/m/d)
Jumio
The Machine Learning Engineer III will play a critical role in advancing Jumios Biometric Verification teams mission to develop and enhance state-of-the-art solutions for liveness detection. 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
As a Machine Learning Engineer III at Jumio you will have the opportunity to significantly impact the security and user experience of our biometric verification solutions. Your expertise in machine learning 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.
In addition to your deep expertise in machine learning you will embrace a T-shaped engineering mindset where you also contribute to the broader engineering processes. You will be expected to have a solid understanding of data engineering software development and testing practices. By taking full ownership of the models you develop from testing to deployment you will ensure they operate effectively in production environments. 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.
Design and implement machine learning deep learning and classical CV algorithms focused on liveness detection.
Research to support the deployment of advanced algorithms.
Develop evolve and support production-quality code.
Deploy models as AWS SageMaker endpoints or directly onto devices.
Stay updated with the latest advancements in deep learning computer vision and biometric verification by engaging with academic papers and attending industry conferences.
Work collaboratively with other engineers and product managers in an Agile development environment.
Experience and Qualifications
Bachelors or Masters degree in Computer Science Data Science Machine Learning or a related field.
A minimum of 5 years of commercial experience in the field of computer vision or a related area not including time spent studying (2 years with Masters).
Proficiency in computer vision and deep learning techniques.
Hands-on experience with PyTorch or TensorFlow OpenCV SKLearn and in developing production-grade Python code.
Demonstrated experience in implementing best practices for monitoring and maintaining ML models in production environments.
Experience in building training and deploying models to production environments.
Great to have Experience and Qualifications
Experience with biometric verification or presentation attack detection.
PhD in Computer Science or related field with a specialization in computer vision or deep learning.
Experience in developing algorithms for facial processing and recognition.
Experience working with voice hand recognition or other alternative biometrics.
Experience in building and deploying models to devices.
Experience in C
@Work Our newest office Jumio is in Prestige Tech Park III and growing fast. A hub of technical excellence with Machine Learning enablement at its core the engineers and team are committed to learning and innovation. Integrity Diversity Empowerment Accountability Leading Innovation
Jumio is a B2B technology company dedicated to eradicating online identity fraud money laundering and other financial crimes to help make the internet safer. We leverage AI biometrics machine learning liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders.
Jumio is the leading provider of online identity verification eKYC and AML solutions. With a global footprint were expanding the team to meet strong client demand across a range of industries including Financial Services Travel Sharing Economy Fintech Gaming and others.
Applicant Data Privacy
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