Job Description
Type: Remote | Project-Based
Duration: Until model reaches benchmark (Flexible Timeline)
Focus: Object detection, classification, and image pre-processing
What You’ll Do
Collect, clean, and label images from Kaggle and custom sources
Build and train AI models using Roboflow for transformer and wire fault detection
Use OpenCV for image enhancement and preprocessing
Optimize and evaluate the model for +0%+ accuracy
Test the model with real-world images or smartphone datasets
You Are
A student/fresher with knowledge of Computer Vision and Machine Learning
Experienced with Python, OpenCV, Roboflow, and using public datasets (Kaggle)
A critical thinker with a problem-solving mindset
Passionate about fault detection, power infrastructure, or clean tech applications
Bonus
Prior work on transformer, power lines, or electrical component datasets
Familiarity with YOLOv8, CNN, or Vision Transformers
💡 Quick Summary
Seeking a career-building opportunity? The AI/ML Intern (Project-Based) – Transformer & Wire Fault Detection position is now open for candidates interested in the Work from home Jobs sector. This role in Bangalore offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.
