JOB DESCRIPTION:
Deploy AI models into production systems and collaborate with backend/ML engineers for integration.
Build and improve OCR systems for text extraction from images and documents.
Optimize models for performance, accuracy, and deployment (edge/cloud environments).
Research and apply state- of- the- art algorithms and techniques in Computer Vision and AI.
Train and fine- tune deep learning models using frameworks such as PyTorch, TensorFlow, or OpenCV.
Implement Image Classification, Object Detection, Image Segmentation, and Object Tracking pipelines.
Work with large- scale datasets, perform data preprocessing, augmentation, and annotation strategies.
Design, develop, and optimize Computer Vision models for real- world use cases.
JOB REQUIREMENTS:
Strong knowledge of Computer Vision fundamentals and deep learning techniques.
Hands- on experience with: Image Classification, Object Detection, Image Segmentation, Object Tracking), OCR
Experience with model deployment (Docker, REST APIs, edge devices, cloud platforms).
Good understanding of data structures, algorithms, and system design.
3+ years of experience in Computer Vision or AI/ML engineering.
Proficiency in Python and ML frameworks (PyTorch / TensorFlow / OpenCV).
Good English.
COMPENSATION & BENEFITS:
🎯Flexible working regime and health care:
Flexible timekeeping (from 8:00- 9:00 to 17:30- 18:30)
Social insurance, health insurance, unemployment insurance and MIC care insurance
01 hour paid leave per day for women having children under 12 months
A flexitime allowance of 90- 180 minutes per month for employees
01- day remote work per month
Minimum 14 paid leaves per annum for all employees after probation
🎯Transparent and fair benefits:
Men’s Day, Women’s Day, Children’s Day, Mid- Autumn Festival and other benefits under the provisions of the company
13th- month salary, Performance Bonus
Saturday & Sunday OFF, Overtime pay is 150%, 200%, 300% as per labor law;
Bonus Policy: Public holidays (2/9, 30/4, 1/5, 1/1,...); Personal Performances; Excellent Team; Performance bonus in Token of the project;..
🎯Dynamic environment and open culture:
Socialize with colleagues through monthly Happy Hour
Flat, open and sharing culture with friendly management team; outsourcing company with product mindset
Nice & modern working space with young, dynamic & friendly colleagues and free coffee, tea, drinks,...
Year- end party, sports day, yearly company trip and quarterly team building,...with a generous budget
Monthly allowance when joining clubs: Soccer, Swimming, Yoga, Music,...
🎯Strong learning culture:
Account to log in to our online learning system, which contains thousands of valuable lectures (LMS)
Free training courses for technical and soft skills (presentation skills, communication skills, foreign language courses,...)
Working opportunities with technical gurus who built and operated world- class applications with millions of users.
Participate in workshops, seminars, tech talk,... with sharing from experts inside and outside the company
