Senior Machine Learning Engineer

hace 1 mes

Zaragoza, España Incode A tiempo completo

.POWER A WORLD OF TRUSTIncode 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-upThe OpportunityIncode is searching for innovative, well-rounded Senior Machine Learning engineers to join our team in Serbia (Belgrade) or Spain (Madrid). 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.Major 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.Requirements:5+ years of experience in Deep Learning and Computer Vision.Worked on several comprehensive industry-level projects.Fluency in Python.Comprehensive knowledge in PyTorch or TensorFlow.Creativity and curiosity for solving highly complex problems.Fluent in English.Desirable Skills / Qualifications (Not a must):Experience in face recognition and anti-spoofing, facial expression analysis, 3D face modeling or reconstruction, and background analysis (removal, classification).Experience in applying machine learning & computer vision to resource-constrained devices.Experience with Transformers, LVMs, LLMs, multimodal models on a research and production level.Papers in top-tier journals in Computer Vision and Deep Learning (CVPR, ICLR, NeurIPS, etc.).8 Aspects of our Culture:Values are what we value.High performance.Freedom & responsibility.Context, not control.Highly aligned, loosely coupled.Continuous Feedback.Pay Top of Market.Promotions & Development.Benefits & Perks:Meaningful Equity.Flexible Working Hours & Workplace.Open Vacation Policy.Wellness Program.International Travel Opportunities

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