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Data Scientist, Face Biometrics
Mobilint, Inc.Data Scientist working on biometric technologies for face authentication solutions. Enhancing machine learning algorithms and collaborating on innovative anti-fraud methods in Dublin.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing machine learning algorithms for face authentication, with a strong focus on computer vision, deep learning, and data analysis. Proficient in utilizing frameworks like PyTorch and TensorFlow to create and evaluate robust models for liveness detection and anti-spoofing.
Highest-signal resume keywords
Machine Learning AlgorithmsComputer VisionDeep Learning FrameworksPython ProgrammingData Analysis
ATS Keywords
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Hard Skills
Machine LearningComputer VisionDeep LearningPythonC++Data PreprocessingImage RecognitionLiveness DetectionAnti-SpoofingExperimental Methods
Tools & Technologies
PyTorchTensorFlow
Industry Keywords
Face AuthenticationFraud PreventionPresentation Attack DetectionLarge-Scale DatasetsPerformance Standards
Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Developing machine learning algorithms for face authentication solutions
- Researching, prototyping, and evaluating presentation attack detection and fraud prevention methods
- Testing and configuring face algorithms to meet performance and accuracy standards
- Running rigorous experiments, interpreting findings, and translating outcomes into deployable models and policies
Requirements
What you’ll need- Hands on experience in at least two of the areas listed below:
- Computer Vision & Deep Learning
- Proficiency with deep learning frameworks such as PyTorch or TensorFlow
- Strong programming skills in Python and/or C++
- Data & Experimental Methods
- Experience handling, preprocessing, and analysing large-scale datasets
- Image Recognition & Matching
- Liveness & Anti-Spoofing
- Bachelors, Masters, or PhD in Computer Science, Electrical Engineering, Mathematics, or a related field is preferred.
Benefits
Comp & perks- Competitive compensation & benefits
- Flexible working environment to create a very balanced work/life schedule for you and your family