c++ computer Vision Engineer

4 weeks ago


Noida, India Videolytical Systems Pvt. Ltd. Full time

Exciting Opportunity: Computer Vision Engineer at Videolytical Systems Pvt Ltd, Noida

Videolytical is actively seeking a skilled Computer Vision Engineer to join our growing team. You should have a strong background in machine learning (ML) and computer vision, with the ability to deploy, scale, and maintain ML models in production. In this role, you'll collaborate with software engineers to develop robust infrastructures, implement automation pipelines, and ensure the seamless performance of ML systems.

Key Responsibilities:

  • Collaborate with cross-functional teams to deploy and scale ML models in production environments.
  • Architect and maintain scalable systems for machine learning and computer vision tasks.
  • Implement automation pipelines for model deployment and monitoring.
  • Work with cutting-edge technologies in video analytics, including real-time processing solutions.

Required Skills & Qualifications:

  • Expertise in C++ programming with a deep understanding of object-oriented principles.
  • At least 1 year of hands-on experience developing and deploying machine learning models.
  • Strong experience using CMake for building and managing software projects.
  • Proficient in OpenCV for computer vision tasks such as image and video processing.
  • Familiarity with DeepStream for real-time video analytics and processing.
  • Experience with the OpenVINO toolkit for optimizing deep learning models on Intel platforms.
  • Practical knowledge of ONNX Runtime for model inference in deep learning frameworks.
  • Experience working with GStreamer for multimedia streaming and handling is a plus.
  • Familiarity with Docker for containerization and deploying applications.
  • Strong problem-solving skills and ability to thrive in a fast-paced, collaborative environment.

Why Join Us?

  • Work on cutting-edge projects in machine learning and computer vision .
  • Collaborate with a talented, innovative team.
  • Gain exposure to industry-leading technologies in real-time video processing.
  • Be part of an exciting and rapidly growing company.

If you have the required experience and skills, we’d love to hear from you. Please send your application to



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