Your missionWould you like to be part of an innovative company? Are you interested in contributing ideas that will help you develop as a professional or expand your knowledge?Are you passionate about Machine Learning and do you want to be part of a benchmark company in full expansion?We are looking for a Machine Learning Engineer who will be part of the team at our headquarters in Pamplona, Spain.Your main mission will be to develop and productize cutting-edge biometry and antispoofing technologies based in neural networks, bringing state-of-the-art solutions from research to customers and end users.Main tasks:Develop and productize novel algorithms and solutions in antispoofing.Elaborate long-term plans and strategies in face biometrics and antispoofing.Collaborate with cross-functional teams in the Technology and Operations areas to bring the solutions from research to end users.Participate in cutting-edge research in the areas of biometry, antispoofing, deepfakes, generative AI, etc.Your profileQualification:MSc or Engineering Degree in Computer Science, Telecommunication, or related field.It will be a plus: PhD in Machine Learning, Robotics, or related field.Experience:3 years of experience developing Computer Vision or Machine Learning solutions.3 years of experience in SW development in Python or C++.Experience working in small teams.It will be a plus if you bring:2 years of industry experience in the fields of biometry, object tracking, or generative AI.Industry experience developing Computer Vision or Machine Learning technologies for edge devices (smartphones, FPGAs, custom HW).Experience with MLOps frameworks.Technical knowledge: Python, Artificial Neural Networks, Computer Vision, Object Detection and/or classification.Valuable: C++, SCRUM experience.Soft skills:Excellent verbal and written communication skills.Problem-solving skills and critical thinking.Self-learning.Languages:Advanced level of English.What we offer?Being part of a high-tech company, with its own product and operating worldwide in critical environments, with a global technological and human challenge ahead.Possibility to develop a professional career, and be part of a team composed of highly qualified and experienced personnel.Fixed and variable remuneration, very competitive and in line with the candidate’s experience.Teleworking according to company policy.Collaborative and multidisciplinary work environment.Continuous training.
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