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Deevia Software India Private Limited logo
Computer Vision Engineer
Deevia Software India Private Limited's logo

Computer Vision Engineer

Gowthami K's profile picture
Posted by Gowthami K
1 - 3 yrs
₹4L - ₹10L / yr
Bengaluru (Bangalore)
Skills
skill iconPython
Computer Vision
Image Processing

Responsibilities:

1. Design, develop, and optimize machine vision algorithms.

2. Collaborate with cross-functional teams to understand project requirements and contribute to the development of vision-based applications.

3. Work on image/video processing, feature extraction, object detection, and recognition algorithms.

4. Implement and deploy machine vision solutions for real-world applications.

5. Conduct testing and validation of vision systems to ensure robust performance.

6. Stay updated on the latest advancements in computer vision and DL/ML technologies.


Qualifications:

1. Bachelor's or Master's degree in Computer Science, Electronics Engineering, or a related field.

2. Proven experience of 1-3 years in machine vision domain.

3. Strong programming skills in languages such as Python, etc.

4. Knowledge of image processing libraries and frameworks (OpenCV, SciPy, etc.).

5. Familiarity with hardware integration for vision systems.

6. Excellent problem-solving skills and attention to detail.

7. Good communication and collaboration skills.


Additional Skills (Preferred):

1. Experience with deep learning techniques for computer vision.

2. Knowledge of 3D vision and point cloud processing.

4. Understanding of industrial automation and robotics.

5. Experience working with thermal cameras

6. PLC programming 

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About Deevia Software India Private Limited

Founded :
2013
Type :
Product
Size :
20-100
Stage :
Profitable

About

N/A

Company social profiles

linkedin

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Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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