Senior Computer Vision Engineer

Company Description Quantic Tech Analysis Private Limited guides enterprises through their digital transformation journey with an AI-powered core that enables effective, prioritized change. The organization focuses on building agile, scalable digital solutions that enhance business performance and operational efficiency. By combining advanced analytics, automation, and intelligent systems, Quantic helps clients achieve measurable outcomes and higher value from their technology investments. The company is committed to delivering superior customer experiences and long-term innovation for its partners.
Role Description The Senior Computer Vision Engineer internship role at Quantic Tech Analysis Private Limited is an on-site position based in Chennai. The intern will work with senior engineers to design, develop, and optimize computer vision algorithms for real-world applications, including image and video analysis, pattern recognition, and object detection. Daily tasks include data collection and preprocessing, experimenting with machine learning and deep learning models, evaluating performance metrics, and refining solutions for deployment. The role also involves collaborating with cross-functional teams, documenting technical work, and contributing to prototype development in robotics and AI-driven systems.
Qualifications
Candidates should possess strong foundational skills in Computer Science and Data Science.
Candidates should possess applied expertise in Computer Vision and Pattern Recognition.
Candidates should possess familiarity with Robotics and its integration with vision-based systems.
Candidates should possess proficiency in programming languages such as Python or C++, and experience with libraries like OpenCV, PyTorch, or TensorFlow.
Candidates should possess solid understanding of machine learning and deep learning concepts relevant to vision tasks.
Candidates should possess strong analytical, problem-solving, and debugging skills, with attention to detail.
Candidates should possess effective communication skills and the ability to work collaboratively in an on-site team environment.
Enrollment in or completion of a degree in Computer Science, Electrical Engineering, Data Science, or a related field is preferred; prior project or internship experience in computer vision is an advantage.

Work arrangement
No