Machine Learning Intern – OCR & Document AI

About the Role:

We are looking for highly motivated Machine Learning Interns to work on advanced AI systems involving document understanding, OCR, and intelligent data extraction.

This role focuses on solving challenging machine learning problems involving computer vision, text recognition, and document processing. The selected candidate will work on high-level ML systems dealing with large-scale real-world datasets.

This internship is best suited for candidates who enjoy building AI systems from research to production.

What You Will Work On:

You will work on advanced machine learning systems involving structured and unstructured document processing.

Key areas include:

• OCR pipeline development and optimization
• Handwritten and printed text recognition
• Image preprocessing and enhancement
• Document layout understanding
• Intelligent information extraction
• Model evaluation and performance optimization
• Building scalable ML inference pipelines

The work will involve research experimentation, model development, and system-level integration.

Technical Requirements:

Core Skills

• Strong understanding of Machine Learning and Deep Learning
• Solid programming skills in Python

ML Frameworks

Experience with at least one:

• PyTorch
• TensorFlow

Computer Vision / OCR

Experience with one or more:

• Tesseract
• PaddleOCR
• EasyOCR
• Custom OCR pipelines

Libraries

• OpenCV
• NumPy
• Pandas
• Scikit-learn

Preferred Skills:

Candidates with experience in the following areas will be highly preferred:

• Handwritten text recognition
• Computer vision for document analysis
• Transformer-based architectures
• Vision Transformers
• Document layout analysis
• Sequence-to-sequence models
• Large-scale dataset handling

What We Look For:

We are looking for candidates who:

• Have built real ML or AI projects
• Enjoy solving complex engineering problems
• Can quickly prototype ML solutions
• Have experience reading and implementing research papers
• Are comfortable experimenting with new ML techniques

Education:

• B.Tech / M.Tech / MS in
• Computer Science / Artificial Intelligence / Data Science

OR

• Final year students with strong machine learning projects

Internship Benefits:

• Opportunity to work on high-impact AI systems
• Exposure to real-world machine learning pipelines
• Hands-on experience with large datasets and production ML systems
• Opportunity for full-time role based on performance

Application Requirements:

Applicants should provide:

• Resume
• GitHub / portfolio (if available)
• Description of machine learning projects worked on