Ташкент, улица Богишамол, 260А
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Obligations
Develop and maintain scalable backend systems using Python
Integrate AI pipelines (e.g., face detection/recognition) with real-time video streams
Collaborate closely with AI engineers and DevOps for model serving and deployment
Build and optimize APIs, streaming logic, and microservices
Manage video data processing using GStreamer, OpenCV, and related tools
Monitor and maintain system performance and reliability
Contribute to architecture decisions and code quality standards
Requirements
6+ years of Python backend development experience
Strong expertise in FastAPI, Django, or Flask
Deep understanding of video streaming protocols (RTSP, RTMP, WebRTC)
Experience with GStreamer and OpenCV for video processing
Proficiency in integrating AI models and inference pipelines (e.g., NVIDIA Triton)
Solid understanding of event-driven architectures (Kafka, MQTT)
Strong Docker, Kubernetes, and CI/CD experience
Excellent API design, PostgreSQL, Redis, and message queue knowledge
Strong communication and collaboration skills
Conditions
Full-time position
Schedule: Monday–Friday (5/2)
Working hours: 9 hours per day
Work format: On-site (Tashkent) or Remote
Payments: Monthly
Long-term project with a fast-growing AI company
Proposals
Opportunity to work on large-scale AI video analytics systems
Collaborate with a high-performance team at a company growing regionally and globally
Flexible work format and dynamic environment
Involvement in cutting-edge AI and video technology stack
Competitive compensation with room for growth
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