Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust.
Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services.
We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up!
The Opportunity
Incode is searching for innovative, well-rounded Machine Learning engineers to join our team. We're dedicated to crafting top-tier solutions for document analysis, risk assessment, and face liveness. As part of our team, you'll be pivotal in shaping and implementing cutting-edge machine learning components, spanning development and infrastructure domains. You'll also implement face liveness detection algorithms and develop solutions to ensure the integrity of biometric authentication systems, enhancing security and usability. Join us in a dynamic environment alongside seasoned, industrious professionals, fostering a culture of collaboration and innovation.
Responsibilities :
Develop innovative ML solutions for challenging business problems that are fundamental for Incode
Partner with product teams to analyze key business problems
Collaborate with data science and engineering teams to integrate and validate computer vision solutions end-to-end
Deliver enduring value in terms of software and modeling artifacts
Experience :
5+ years of experience in Deep Learning and Computer Vision
Fluency in Python
Comprehensive knowledge in PyTorch or Tensorflow
Creativity and curiosity for solving highly complex problems
* Additional benefits package according to location (401k, medical insurance, etc.)
Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team and are always looking for talented and passionate people from all backgrounds and walks of life.
We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.
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