Position: Middle Data Scientist
Category: Data Science
English level: upper
Years of experience: 2.5


- Vehicle health monitoring, by utilizing Deep Recurrent models for the analysis of high-volumed CAN bus sensors data, up to 100GB.

- Visual parsing of a document image, using ML/DL algorithms.

- Detection of dents on the vehicle surface.

- Perform 3D head reconstruction from a single photo.

- Deep recurrent model for vehicle sensors analysis for anomaly detection and events representation.

- Pipeline with multiple modules for face recognition, crowd counting, face pose estimation, etc.

- Locally implement face recognition pipeline as a micro-service.
Expectations:
- Computer vision research and development.
- Machine and deep learning research and development.
- Work in a Product company or in a Startup.
- High personal influence on a product.

Not desirable:
- NLP-related positions.
- Data engineering.
- Pure engineering, without research.