Middle ML Engineer
The vacancy has been archived and is no longer active
Main requirements
Mandatory requirements
- 1.5–2 years of commercial development experience in Computer Vision / Deep Learning
- Confident command of Python
- Experience working with PyTorch and/or TensorFlow
- Basic knowledge of OpenCV
- Understanding the basics of building an ML/CV pipeline
- Willingness to learn quickly and understand the biometric domain
That would be a plus
- Getting to know Face Biometrics, KYC or Anti-Fraud solutions
- Experience working with InsightFace, DeepFace
- Basic Understanding of ONNX Runtime, Docker
- Experience working with large datasets
Technical stack
Python, PyTorch / TensorFlow, OpenCV, InsightFace, DeepFace, ONNX Runtime, Docker, Git
AI-First Engineering (mandatory requirement)
We expect active use of AI tools in our daily work: ChatGPT, Claude, Gemini, GitHub Copilot, Cursor, Windsor, AI-assisted coding and debugging, Prompt Engineering.
What you will do
What you have to do
- Participation in the development and improvement of biometric and identity verification solutions
- Development of Computer Vision and ML components under the guidance of senior engineers
- Implementation and refinement of algorithms for Face Verification, Liveness Detection, and Anti-Spoofing
- Preparation and preprocessing of datasets
- Participation in model optimization and ML/CV pipeline
- Writing tests, documentation, and maintaining existing code
- Studying and adapting SOTA solutions to the team's tasks
What we offer
- Work in an international IT company
- Competitive salary (by agreement)
- An office with a convenient location (Khodzhanova 59/9)
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