Junior Data Scientist - Computer Vision

Responsibilities

• Develop and improve computer vision models for object detection, image quality assessment, OCR, and document understanding
• Collect, clean, label, and analyze image datasets to ensure high data quality
• Train and fine-tune deep learning models using modern frameworks and evaluate performance using appropriate metrics
• Conduct research by implementing papers and experimenting with new architectures and techniques
• Collaborate with engineering teams to deploy, monitor, and optimize models for production environments
• Document experiments, findings, and model performance for cross-functional teams

Requirements

• BE, BTech, ME, MTech, or MCA in Computer Science, Artificial Intelligence, or related fields
• Strong understanding of Machine Learning and Deep Learning fundamentals
• Proficiency in Python programming
• Hands-on experience with PyTorch or similar deep learning frameworks
• Experience with Computer Vision libraries including OpenCV, NumPy, Pandas, PIL, and scikit-image
• Basic understanding of CNNs, Object Detection (YOLO, Faster R-CNN, SSD), and Transfer Learning
• Strong analytical and debugging skills

Preferred Qualifications

• 0–2 years of experience in Computer Vision, AI, or Machine Learning
• Previous internship or academic projects focused on Deep Learning or Computer Vision
• Exposure to OCR, document processing, or image analytics projects

About the Company

Digitap.ai builds AI-powered solutions for fintech and document intelligence applications, leveraging cutting-edge deep learning and computer vision techniques to solve real-world problems.