Expert Computer Vision Engineer for Real-Time Video Analytics
1 month ago
Videolytical Systems Pvt Ltd is seeking an experienced Computer Vision Engineer to develop and deploy machine learning models for real-time video analytics. This exciting opportunity requires a strong background in computer vision, machine learning, and software development.
About the Role:
- Develop and deploy scalable computer vision systems for real-time video processing.
- Collaborate with cross-functional teams to integrate machine learning models into production environments.
- Design and implement automation pipelines for model deployment and monitoring.
- Work with cutting-edge technologies in video analytics, including DeepStream and OpenCV.
Required Skills & Qualifications:
- Expertise in C++ programming with 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 working with Docker for containerization and deploying applications.
- Strong problem-solving skills and ability to thrive in a fast-paced, collaborative environment.
Salary: The estimated annual salary for this role is ₹1,200,000 - ₹1,800,000 (dependent on experience).
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