Data Scientist, Face Biometrics

Daon

. Develop machine learning algorithms for face authentication solutions .

Posted 11/5/2026full-timeBelgrade • SerbiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core 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 grounding in computer vision and proficiency in deep learning frameworks such as PyTorch and TensorFlow. Capable of handling large-scale datasets and implementing state-of-the-art research while adhering to privacy and security considerations.

Highest-signal resume keywords

Machine Learning Algorithms DevelopmentComputer Vision PrinciplesDeep Learning Frameworks (PyTorch, TensorFlow)Python and/or C++ ProgrammingPresentation Attack Detection

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningComputer VisionDeep LearningPython ProgrammingC++ ProgrammingData AnalysisFeature ExtractionAuthentication TechniquesMetric LearningAdversarial Robustness

Soft Skills

Strong Communication SkillsCollaborative TeamworkResearch Interpretation

Tools & Technologies

PyTorchTensorFlowBiometric Code LibrariesAI Tools

Industry Keywords

Face AuthenticationBiometricsPrivacy ConsiderationsFraud PreventionEthics in Biometrics

Tech Stack

Tools & technologies

PythonPyTorchTensorflowC++

About the role

Key responsibilities & impact

Develop machine learning algorithms for face authentication solutions
Research, prototype, and evaluate presentation attack detection and fraud prevention methods
Test and configure face algorithms to meet performance and accuracy standards
Extend and utilise existing biometric code libraries
Run rigorous experiments, interpret findings, and translate outcomes into deployable models and policies
Help innovate and develop solutions to emerging face biometrics challenges
Apply and continuously grow expertise in AI, machine learning, and computer vision
Work collaboratively with research and engineering colleagues
Improve and develop biometric technologies aligned with strategic objectives and delivered on time
Report directly to the Principal Research Scientist

Requirements

What you’ll need

Candidates must be resident in Serbia
Please submit your CV in English
Minimum English proficiency level of B2 required
Hands-on experience in at least two listed technical areas
Proven track record through project delivery, research contributions, or a minimum of two years of relevant employment experience
Strong grounding in computer vision and machine learning principles
Proficiency with deep learning frameworks such as PyTorch or TensorFlow
Solid understanding of detection, recognition, and classical computer vision pipelines
Strong programming skills in Python and/or C++, including version control, testing, and debugging
Experience handling, preprocessing, and analysing large-scale datasets
Familiarity with synthetic data generation or weakly/lightly supervised learning approaches
Experience with authentication, identity matching, or metric learning
Knowledge of feature extraction, alignment, and embedding-based systems
Exposure to presentation attack detection, including replay, mask, or deepfake scenarios
Interest or experience in adversarial robustness and anti-spoofing research
Ability to review, interpret, and implement state-of-the-art research
Comfortable using AI tools to accelerate workflow and productivity
Awareness of privacy, ethics, and security considerations in biometrics
Strong written and verbal communication skills in English

Benefits

Comp & perks

Competitive compensation & benefits
Flexible working environment to create a very balanced work/life schedule for you and your family
Opportunity to work in identity verification and authentication, biometrics, telephony, and fraud
Chance to be part of an established and successful team of researchers and scientists