About the Role:
The Senior Software Engineer focuses on developing advanced systems to detect and prevent spoofing attacks during biometric authentication processes.
* Design and develop AI-powered liveness detection systems that can differentiate between real and fake biometric data.
* Collaborate with data scientists to collect, clean, and preprocess large datasets required for training deep learning models.
* Develop and optimize machine learning algorithms capable of processing real-time biometric data to detect inconsistencies indicative of spoofing attempts.
* Conduct rigorous testing of liveness detection systems to ensure performance in real-world scenarios.
* Deploy liveness detection systems into production environments, ensuring scalability and high performance.
Job Requirements:
* Proficiency in programming languages such as Python, Java, or C++
* Experience with deep learning frameworks like TensorFlow or PyTorch
* Knowledge of machine learning algorithms and their applications in biometric authentication
* Familiarity with computer vision techniques and image processing
* Excellent problem-solving skills and ability to work in a team environment
What We Offer:
* A challenging and rewarding role in a fast-paced industry
* Opportunities for professional growth and development
* A collaborative and dynamic work environment
* Competitive salary and benefits package