About the internship
Selected intern's day-to-day responsibilities include:
1. Analyzing and interpreting complex datasets to improve algorithm performance.
2. Integrating machine learning and deep learning techniques into computer vision systems.
3. Collaborating with cross-functional teams, including software engineers and product managers, to develop and refine products.
4. Preparing technical reports and documentation for internal and external stakeholders.
5. Ensuring the robustness and reliability of computer vision systems.
Skill(s) required
Computer Vision
Deep Learning
Image Processing
OpenCV
Python
Earn certifications in these skills
Who can apply
Only those candidates can apply who:
1. are available for full time (in-office) internship
2. can start the internship between 7th Aug'24 and 11th Sep'24
3. are available for duration of 6 months
4. are from or open to relocate to Bangalore
5. have relevant skills and interests
Other requirements
1. Strong programming skills in Python, C++, or similar languages.
2. Experience working with the OpenCV library.
3. Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
4. Experience with deep learning is a plus.
5. Excellent problem-solving and analytical skills.
6. Strong communication and teamwork abilities.
Perks
Certificate
Flexible work hours
Informal dress code
5 days a week
Free snacks & beverages
Number of openings
2
About BigVision
Big Vision is a consulting organization with deep expertise in advanced computer vision, deep learning, machine learning, and artificial intelligence (AI) research and development. We work on a wide variety of problems, including image recognition, object detection & tracking, image segmentation, human body pose estimation, and automatic document analysis, including optical character recognition (OCR), face detection and recognition, computational photography, augmented reality, 3D reconstruction, and medical image processing, to name a few. We are experts in computer vision and machine learning libraries like OpenCV and Dlib, deep learning frameworks like PyTorch, and TensorFlow/Keras. Depending on the problem at hand, we use the right library and framework.
