Live opening · Posted 11 days ago
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About the role
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Computer Vision Engineer – Intern
Location: [Bangalore]
Experience: Freshers / 0–1 Year
Internship Duration: 6 Months
Employment Type: Full-time Internship
Conversion: Full-time opportunity based on performance
About the Role
We are looking for a motivated and technically enthusiastic Computer Vision Engineer Intern to join our AI engineering team. The intern will work on real-world Computer Vision, AI, and video analytics projects, gaining hands-on experience in developing, testing, and deploying vision-based solutions.
The ideal candidate should have a strong foundation in Python, basic understanding of Computer Vision and Machine Learning, and a willingness to learn and work on practical AI applications.
Successful candidates may be considered for a full-time Computer Vision Engineer role after completion of the 6-month internship, based on performance, technical capabilities, project contribution, and business requirements.
Key Responsibilities
Assist in developing and testing Computer Vision and AI-based applications.
Work with image and video data for various Computer Vision use cases.
Develop Python scripts and applications for image/video processing.
Work with libraries such as OpenCV, NumPy, Pandas, and PyTorch/TensorFlow.
Assist in implementing and testing object detection, image classification, object tracking, and video analytics solutions.
Support data preparation, annotation, preprocessing, and dataset management.
Train, test, and evaluate Computer Vision / Machine Learning models.
Analyze model performance and assist in improving accuracy and inference performance.
Work with real-time video streams and camera feeds where required.
Assist in deploying AI models on edge devices or cloud environments.
Debug technical issues and optimize Python-based applications.
Collaborate with senior engineers and contribute to ongoing AI/Computer Vision projects.
Maintain technical documentation and project-related reports.
Required Technical Skills
Programming
Strong foundation in Python.
Understanding of Object-Oriented Programming concepts.
Basic knowledge of data structures and algorithms.
Familiarity with Git/GitHub.
Computer Vision
Basic understanding of Computer Vision concepts.
Hands-on exposure to OpenCV.
Understanding of image processing techniques.
Basic knowledge of image/video preprocessing.
Understanding of concepts such as object detection, classification, segmentation, and tracking is an advantage.
Machine Learning / AI
Basic understanding of Machine Learning and Deep Learning.
Familiarity with PyTorch or TensorFlow.
Basic understanding of CNNs and neural networks.
Exposure to models such as YOLO is an added advantage.
Additional Skills – Good to Have
Experience working with CCTV/video analytics.
Exposure to real-time video processing.
Knowledge of Linux.
Familiarity with Docker.
Exposure to edge AI platforms such as NVIDIA Jetson, Raspberry Pi, or similar devices.
Basic understanding of REST APIs.
Experience with Roboflow or other data annotation platforms.
Educational Qualification
B.Tech / B.E. in Computer Science, Artificial Intelligence, Machine Learning, Electronics, Information Technology, or a related engineering discipline.
Candidates with relevant M.Tech / MCA / AI/ML specialization may also apply.
Fresh graduates and final-year students available for a full-time 6-month internship are encouraged to apply.
What We Look For
Strong interest in AI, Computer Vision, and Machine Learning.
Good programming and problem-solving skills.
Ability to learn new technologies quickly.
Strong analytical and debugging skills.
Good communication and teamwork.
Willingness to work on real-world AI projects.
Ability to take ownership of assigned tasks and deliver within timelines.
Internship & Full-Time Conversion
This is a 6-month internship program designed to provide hands-on exposure to real-world Computer Vision and AI projects.
During the internship, performance will be evaluated based on:
Technical learning and development
Python and Computer Vision skills
Quality of project contributions
Problem-solving ability
Ownership and execution
Team collaboration
Overall professional performance
Based on performance and business requirements, selected interns may be offered a full-time position as a Computer Vision Engineer upon successful completion of the 6-month internship.
Why Join Us?
Work on real-world AI and Computer Vision projects.
Gain practical experience in image and video analytics.
Learn from experienced AI/ML engineers.
Get exposure to modern Computer Vision frameworks and technologies.
Opportunity to work with edge AI, real-time video intelligence, and AI model deployment.
Potential opportunity for full-time employment after 6 months based on performance.
Work arrangement
No
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