Salary: Competitive (based on skills and experience)
Role Overview:
We are seeking a highly motivated Computer Vision Engineer to assist in designing, developing, and optimizing computer vision algorithms for real-world applications. The intern will work closely with our engineering and product development teams to build intelligent imaging systems involving detection, tracking, segmentation, and analysis.
Key Responsibilities:
* Develop and implement computer vision algorithms using Python and OpenCV
* Build and optimize models for object detection, image segmentation, and feature extraction
* Collect, annotate, preprocess, and manage datasets for model training and evaluation
* Integrate computer vision solutions with imaging hardware and edge devices
* Test, validate, and improve model performance for real-time deployment
* Research emerging computer vision techniques and document technical findings
Required Skills:
*Robust understanding of Computer Vision fundamentals
* Proficiency in Python
* Experience with OpenCV
* Familiarity with deep learning frameworks such as PyTorch and TensorFlow
* Knowledge of image processing techniques
Preferred Qualifications:
* Experience with models such as YOLO, Mask R-CNN, and U-Net
* Exposure to edge AI deployment
* Experience working with cameras, sensors, or real-time video streams
Educational Background:
Completed degree in:
* Computer Science
* Artificial Intelligence
* Electronics Engineering
* Robotics
* Related technical fields
What You’ll Gain:
* Hands-on experience building production-grade computer vision systems
* Opportunity to work on real-world AI-driven medical technology
* Mentorship from experienced engineers
* Exposure to hardware-software integration
Ability to commute/relocate:
- Mumbai, Maharashtra (Mumbai): Reliably commute or planning to relocate before starting work (Required)
Experience:
- Computer vision: 2 years (Required)
Location:
- Mumbai, Maharashtra (Mumbai) (Required)
Work Location: In person
📌 Computer Vision Engineer (India)
🏢 Tejco Global
📍 India
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