PLAI startup with investments and IT accreditation is looking for a senior fullstack developer at the intersection of ML/CV and backend to develop and support a high-load system for processing live video streams using neural networks. We are creating a platform for sporting events with various interactive tools — broadcasts, event recordings, player statistics collection, an analytics system, and other interesting features. Key tasks include processing video streams using neural network computer vision solutions from multiple cameras with a high fps value. This is an excellent opportunity to use your skills to develop sports technologies!

Key Tasks:

• Development of a video pipeline in Python for processing a large number of parallel video streams.
• Development of effective video synchronization and processing algorithms, performance optimization, and achievement of established latency metrics.
• Writing wrappers for neural network models for real-time data analysis from multiple video streams up to 60fps.
• Development of fault-tolerant solutions for distributed data processing using NATS.
• Close interaction with ML engineers and DevOps teams for solution integration and deployment.

Requirements:

• Deep knowledge of Python and 5+ years of development experience in it.
• Understanding of high-load systems and microservice architectures, principles of asynchronous event-driven architectures.
• Knowledge of video data processing tools such as ffmpeg, GStreamer, OpenCV.
• Experience with Docker.
• Debugging and profiling skills for high-load Python applications.

Additional Skills (will be an advantage, but not required):

• Knowledge of video streaming protocols (RTMP/RTSP/WebRTC).
• Experience with CUDA, OpenCL, TensorRT, ONNX for video processing acceleration.
• Experience integrating ML models into production systems.
• Experience using shared memory.
• Experience optimizing GPU memory utilization.
• Experience with S3.

What We Offer:

• Great team
• Work on interesting tasks
• Opportunity to join the project at an early stage
• Remote work option
• Good salary
• Accredited IT company

P.S. Your enthusiasm and responsible approach to work are important to us. We are a startup with investments that is creating an interesting commercial product, and the contribution of each team member to the final result is very important.