Computer Vision Engineer

Company Description Aiila Innovations is a deep-tech company focused on building mission-critical systems for Defense land aerospace. The company bridges orbital intelligence and tactical operations through AI-enabled hardware and software solutions. Aiila transforms complex technologies into specialized, field-ready assets that support front-line personnel. Team members work on high-impact products that contribute directly to national security and defense innovation.
Role Description The Computer Vision Engineer internship is an on-site role based in Hyderabad. Interns will assist in designing, developing, and testing computer vision algorithms that power AI-enabled aerospace and defense systems. Day-to-day responsibilities include working with image and video data, implementing pattern recognition and object detection models, and collaborating with robotics and software teams to integrate vision pipelines into real-time systems. The role also involves experimenting with new approaches, documenting findings, and supporting system performance evaluation under field-relevant conditions. Interns will work closely with senior engineers, gaining hands-on experience in turning research concepts into deployable solutions.
Qualifications
Strong foundation in Computer Science and Data Science, including algorithms, data structures, and statistical concepts.
Experience or coursework in Computer Vision and Pattern Recognition, with ability to implement and evaluate vision models.
Exposure to Robotics and embedded or real-time systems, with interest in integrating perception with control and navigation.
Proficiency in programming languages such as Python and/or C++, and familiarity with libraries like OpenCV, PyTorch, or TensorFlow.
Pursuing or holding a degree in Computer Science, Electronics, Robotics, or a related engineering or science discipline.
Ability to work on-site in Hyderabad, collaborate in multidisciplinary teams, and communicate technical ideas clearly.
Interest in aerospace, defense technologies, and edge AI; prior project or internship experience in these areas is a plus.

Work arrangement
No