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:
- Convert and optimize trained AI models (quantization, ONNX, TensorRT conversions) for various edge platforms.
- Validate model performance and compatibility on selected edge hardware.
- Benchmark and troubleshoot deployment issues related to accuracy, latency, and resource use.
- Collaborate with Computer Vision Engineers and Edge Application Developers to integrate optimized models.
Required Qualifications:
- Proven experience optimizing ML models for embedded/edge AI hardware.
- Deep understanding of model conversion frameworks (ONNX, TensorRT, OpenVINO).
- Strong skills in Python, C/C++, Linux environments.
- Experience with hardware-specific SDKs and optimization techniques.
Preferred Qualifications:
- Direct experience deploying models on popular edge platforms (Rockchip, Hailo, NVIDIA Jetson, Google Coral).
- Familiarity with edge-based vector databases and embedding search methods.
- Ability to evaluate and integrate new edge-AI hardware solutions.
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.