Vacancies
Almaty
Full-time
Full-time
Senior ML engineer
Archive
The vacancy has been archived and is no longer active
Main requirements
Mandatory requirements
- Experience working with Face Biometrics, KYC, Identity Verification or Anti-Fraud solutions
- Deep knowledge of Computer Vision and Deep Learning
- Confident command of Python
- Experience working with PyTorch and/or TensorFlow
- Experience in building production-grade ML/CV systems
- Experience working with large-scale datasets
- Experience optimizing inference, latency, and model performance
- Understanding the architecture of enterprise biometric systems
Mandatory advantage
The candidate must have at least one of the following experiences:
- Experience in preparing solutions for iBeta Level 2 certification
- Experience of passing or participating in the iBeta Level 2 certification
That would be a big plus.
- Work experience in biometric, KYC or identity verification companies
- Participation in NIST FRVT Evaluations
- Experience in developing Anti-Spoofing and Liveness Detection systems
- Experience with Deepfake Detection
- Understanding international biometric compliance and certification standards
- The experience of implementing SOTA research papers in production
What you will do
What you have to do
- Development and improvement of biometric and identity verification solutions
- Creation of production-level Computer Vision and ML systems
- Development of algorithms for Face Verification, Liveness Detection, Anti-Spoofing and Deepfake Detection
- Optimization of models for high-load systems
- Working with large datasets and data preparation
- Implementation of modern research (SOTA) in production
- Full-cycle ML/CV pipeline development and support
- Participation in the preparation of solutions for international certifications and tests
What we offer
Technical stack
Python, PyTorch / TensorFlow, OpenCV, InsightFace, DeepFace, ONNX Runtime, TensorRT, CUDA, Docker, Kubernetes, AWS / GCP, MLOps / CI/CD
Т
ТОО BIOMETRIC FOUNDERS
IT-company
Job Type
Full-time
Type employment
Full-time
Required education level
Bachelor's degree
Direction
Safety
Work experience
At least 2 years
Salary
Not specified
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