Job Description:
We are seeking a skilled Senior Biometric System Developer to join our team. In this role, you will be responsible for designing and developing advanced systems to detect and prevent spoofing attacks during biometric authentication processes.
Responsibilities:
* Design and develop liveness detection systems that utilize AI algorithms to differentiate between real and fake biometric data.
* Build and optimize deep learning models specifically for liveness detection.
* Identify and extract features from biometric data that are crucial for detecting spoofing attempts.
* Collaborate with data scientists to collect, clean, and preprocess large datasets required for training liveness detection models.
* Implement 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.
Required Skills and Qualifications:
To succeed in this role, you will need:
* In-depth understanding of machine learning frameworks such as TensorFlow, Keras, or PyTorch.
* Proficiency in programming languages such as Python, Java, or R.
* Strong problem-solving abilities with a solid grasp of statistics, probability theory, and data analysis techniques.
* Ability to work effectively with cross-functional teams to achieve common goals.
* Bachelor's degree in Computer Science, Mathematics, or a related field.
Benefits:
We offer a competitive package including:
* Discounted health plan rate and optical assistance.
* Life assurance and income protection.
* Option to buy additional annual leave days.
* Employee Assistance Program.
* Flexible working arrangements.
Others:
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know. Additionally, we want to remind you that criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants.