Senior Software Engineer II, Computer Vision
RELX
JavaKerasPythonPyTorchTensorflow
Senior Software Engineer II, Computer Vision
RELX
full-time
Posted on:
Location Type: Office
Location: Chennai • 🇮🇳 India
Visit company websiteJob Level
Senior
Tech Stack
JavaKerasPythonPyTorchTensorflow
About the role
- As an Anti-Spoofing/Liveness Detection Engineer, you will help design and develop advanced systems to detect and prevent spoofing attacks in biometric authentication.
- You will apply machine learning and deep learning to distinguish genuine interactions from fraudulent ones, ensuring secure and accessible digital experiences for all users.
- Design and develop liveness detection systems using AI algorithms to separate real from fake biometric data, analyzing features such as facial characteristics, eye movements, and other physiological signals.
- Build and optimize deep learning models tailored for liveness detection, selecting and refining algorithms to achieve high accuracy and reliability.
- Engage in feature engineering by identifying and extracting important patterns from biometric data, including texture analysis, motion-based detection, and 3D depth analysis.
- Work with data scientists and team members to collect, clean, and prepare large datasets for model training, ensuring data quality and representativeness.
- Implement machine learning algorithms to process real-time biometric data, integrating multiple modalities like facial recognition, fingerprint scanning, and iris recognition.
- Test and validate liveness detection systems thoroughly to ensure strong performance in real-world situations and validate models against a variety of spoofing techniques.
- Deploy, monitor, and maintain liveness detection systems in production, ensuring scalability and high performance.
- Proactively identify and address any accuracy or efficiency issues.
Requirements
- Understanding of machine learning frameworks such as TensorFlow, Keras, or PyTorch.
- Experience developing deep learning models.
- Programming skills in Python, Java, or R (or similar languages) for model development and algorithm implementation.
- Strong analytical and problem-solving abilities, with a familiarity with statistics, probability, and data analysis techniques.
- Ability to work collaboratively with cross-functional teams—including data scientists, software engineers, and product managers—to achieve shared goals.
- Preferred, but Not Required: Experience in anti-spoofing or biometric security systems.
- Preferred, but Not Required: Familiarity with standards such as NIST ISO/IEC 30107 or FIDO.
- Preferred, but Not Required: A passion for continuous learning and keeping up with the latest advancements in AI and machine learning.
Benefits
- We are committed to creating an accessible and supportive workplace.
- If you need reasonable accommodation(s) to participate in the application process or to perform this job, please let us know.
- We value every candidate’s potential and welcome applications from all qualified individuals, including those from underrepresented and non-traditional backgrounds.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdeep learningliveness detectionfeature engineeringalgorithm implementationdata analysisPythonJavaRTensorFlow
Soft skills
analytical skillsproblem-solvingcollaborationcommunicationteamwork
