Position: Machine Learning Engineer
Category: Python
English level: upper
Years of experience: 4

ML courses
Working with 3D pointcloud
Estimating 3D object parameters
Implementing PDF OCR pipeline, shape detection
Cables detection on pointcloud
Object parts detection
Segmenting pointcloud

3D bounding box estimation for ADAS system
Key Responsibilities:1. Technical leading team work, mentoring newcomers and trainees.
2. Preparing requirement specification based on customer information.
3. Coordinating and reporting project status with the customer.
4. Design and implementation pipeline for 3D box estimation
5. Migrating pipeline to TensorRT core
Technologies:Python, TensorRT, Nvidia Drive AGX, Pytorch, Keras, OpenCV, Deep Learning, Machine Learning


AI algorithms for Media and Content Management, Sport analytics

Key Responsibilities:1. Split Video into Scenes
2. Thumbnail & Caption from Scene
3. Compile Highlights from Video
3. Automated annotation of video and describing the events exposed
4. Search video by keywords describing a content
5. Extract the scene/event by a context description
6. Face recognition on video consequence
7. Predicting soccer events by video consequence
8. Creating and supporting soccer media system
9. R&D of detecting tiny objects
10. Creating Image Processing laboratory work course and teaching at university
Technologies:Deep Learning, Python, Machine Learning, Computer Vision, Image Processing

Audio ML processing
Key Responsibilities:
1. Tuning existing models
2. Creating new deep learning models for noise detection
I would like to work with Computer Vision, Deep Learning, Machine Learning