Software and Automation Engineer for Video Analysis and Object Recognition

Job Vacancy: Software & Automation Engineer for Video Analysis and Object Recognition
Job Type: Full-time or Project-based (one-time)
Location: Remote / Hybrid

Job Description:
We are looking for an experienced developer to create an innovative automation solution based on video stream analysis. The task involves developing a system that can recognize objects, events, or behaviors in video footage.

This position is ideal for professionals with experience in computer vision, video processing, and developing automated systems.

Key Responsibilities:

• Develop and implement object and event recognition algorithms for video streams.
• Integrate machine learning tools to enhance analysis accuracy.
• Configure automation systems to process video streams with minimal latency.
• Ensure the stable operation of the developed solution.
• Document the development process and the provided solutions.

Required Skills:

• Experience with programming languages such as C#, .NET, Python, or C++.
• Experience using computer vision libraries (e.g., OpenCV, MediaPipe, TensorFlow).
• Knowledge of video processing principles: decoding, frame analysis, object detection.
• Experience working with APIs for streaming data processing (e.g., FFmpeg, GStreamer).
• Experience in building and optimizing automated solutions.
• Understanding of machine learning principles and basic knowledge of algorithms (e.g., YOLO, Faster R-CNN).

Preferred (but not mandatory):

• Experience with Docker.
• Experience in creating graphical user interfaces for visualizing analysis results.
• Understanding of real-time video stream processing principles.

What We Offer:

• Work on an innovative task in a dynamic environment.
• Flexible schedule and the option to work remotely.
• Competitive salary.
• Opportunity for collaboration in either a full-time or one-time project format.