Computer Vision Engineer

At TassVision, a leading technology company based in Tashkent, we’re transforming retail analytics with innovative AI-driven solutions. Leveraging cutting-edge computer vision and edge computing, we empower retailers with actionable, real-time insights to enhance customer experiences and operational efficiency. As a fast-growing market leader with strong international partnerships, we offer a dynamic, collaborative work environment for those passionate about creating real-world impact through advanced technology.

We’re hiring a AI/MLOps Engineer to optimize and deploy trained AI models on diverse edge devices, including Rockchip NPUs, Hailo NPUs, NVIDIA Jetson, and Google Coral. If you excel at model optimization and thrive in Python, C/C++, and Linux environments, join us to drive performance, speed, and accuracy on edge hardware!

Key Responsibilities:

- Research state-of-the-art computer vision techniques and architectures.
- Train, fine-tune, and validate models to meet accuracy and performance criteria.
- Build and maintain high-quality datasets and efficient data pipelines.
- Collaborate closely with Embedded AI/MLOps engineers to transition models to edge deployment.
- Validate model performance in a simulated pipeline environment.

Required Qualifications:

- Proven experience developing computer vision models (object detection, segmentation, face recognition).
- Strong proficiency in Python, PyTorch/TensorFlow, and relevant data tools.
- Practical experience with dataset preparation, model training, and validation.​​​​​​​​​​​​​​

Preferred Qualifications:

- Experience with lightweight neural network architectures optimized for edge deployment.
- Hands-on experience testing full CV pipelines on standard hardware.
- Familiarity with vector databases (e.g., FAISS, Elasticsearch).​​​​​​​​​​​​​​

Benefits & Perks:

- On-site work required at our Tashkent, Uzbekistan office.
- Competitive salary benchmarked locally.
- Latest hardware provided (MacBook Pro / high-performance PC).
- Office amenities: Free coffee, snacks, and refreshments.
- Flexible working hours to support work-life balance.
- Professional development: Sponsored online courses, attendance at international conferences, and subscriptions to AI/ML platforms.
- Paid subscriptions to advanced AI assistants (ChatGPT Pro, Gemini, Claude, DeepSeek) for your daily productivity.
- Dynamic, collaborative team environment that encourages growth and innovation.