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Big Vision

Computer Vision & AI Intern | 6M + PPO

PPO Tech 📍 Banglore
Expired

💰 CTC / Stipend

50k per month CTC: 18 LPA (Base: 15 LPA) Backlogs: 0 Duration (Applicable for internship only): 6M + PPO

📊 CGPA Criteria

6.75

🎓 Eligible Branches

CSEITEIOTECEECAMCSAICSDAMACCSDSITNSEE

📋 Job Description

We are seeking a skilled and passionate Computer Vision intern to join our dynamic team. In this role, you will be responsible for developing and implementing advanced computer vision algorithms and systems that are at the core of our innovative products and services. Key Responsibilities: - Algorithm Development: Design, implement, and optimize state-of-the-art computer vision algorithms. - Data Analysis: Analyze and interpret complex datasets to improve algorithm performance. - Machine Learning Integration: Integrate machine learning and deep learning techniques into computer vision systems. - Prototyping: Develop prototypes and proof-of-concept applications to demonstrate the feasibility of new ideas. - Collaboration: Work closely with cross-functional teams, including software engineers and product managers, to develop and refine products. - Documentation and Reporting: Prepare technical reports and documentation for internal and external stakeholders. - Continuous Learning: Stay abreast of the latest developments in computer vision and machine learning technologies. - Quality Assurance: Ensure the robustness and reliability of computer vision systems Qualifications: - Pursuing Bachelor's degree in Computer Science, Electronics Engineering, or a related field. - Proven experience in computer vision, image processing, or related areas. - Strong programming skills in Python, C++, or similar languages. - Experience of working with OpenCV library. - Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch). - Experience with deep learning is a plus. - Excellent problem-solving and analytical skills. - Strong communication and teamwork abilities.

📝 How to Apply

All interested students must apply on the link below and in description (if any) by 21/08/2026, 08:00 PM.

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