
Advanced Biometric Model Developer
2 weeks ago
We are seeking a skilled Biometric Model Developer to join our team. As a key member of our innovation team, you will be responsible for designing, training, and deploying advanced deep learning models to ensure robust liveness detection.
Liveness Detection DevelopmentDesign and train deep learning models to prevent spoofing attacks using photos, videos, masks, or other methods. Deploy biometric models to correctly identify users.
- Own the full lifecycle of deploying models: from data labelling, working with engineers to design scalable APIs, to monitoring and A/B testing new model versions.
- Stay updated with the latest research in biometrics, computer vision, and deep learning, incorporating new techniques to improve our products.
- Collaborate with business, product, operations, and engineering teams to deliver impact for our customers.
You will work independently or in a team to solve complex problem statements.
RequirementsAn advanced degree in a quantitative field and 3+ years of hands-on experience in deep learning model development for biometrics or liveness detection.
- Deep understanding of modern computer vision techniques, deep learning, and machine learning.
- Experience developing and deploying machine learning models in production.
- Familiarity with modern deep learning frameworks such as TensorFlow, PyTorch, MXNet.
Proficient in Python, C++, Scala, or Java. Familiarity with cloud platforms like AWS, GCP, or Azure for model deployment. Experience in on-device inference for machine learning models is a plus.
Take pride in taking ownership and driving projects to have business impact. Thrive in a fast-moving collaborative environment.
Problem StatementOver 1 billion people worldwide cannot securely prove their identity. Every year, 140 million babies are born, of which 40 million go unregistered. These individuals are deprived of social benefits, civil rights, and are excluded from the economy because they cannot sign up.
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