About UsWe are a fast-growing logistics technology startup building a next-generation Trucking Management System (TMS) that integrates dispatching, accounting, routing, fleet tracking, and maintenance in one platform. We are now adding AI-driven features such as OCR for document automation, predictive analytics, and driver efficiency insights.Role OverviewWe are seeking a passionate AI/ML Intern to join our team and work on exciting real-world projects in logistics tech. This role is ideal for students or fresh graduates who want to gain hands-on experience in AI, machine learning, and data science within a startup environment.Key Responsibilities

• Assist in building and training OCR models for extracting data from logistics documents (e.g., invoices, trip sheets, bills of lading).
• Work on data preprocessing, cleaning, and feature engineering for logistics datasets.
• Contribute to developing predictive models for driver performance, route optimization, and dispatcher efficiency.
• Collaborate with the product and tech team to integrate AI modules into the TMS.
• Research and experiment with AI/ML frameworks to improve model accuracy and efficiency.
• Document processes, experiments, and results for knowledge sharing.

Required Skills & Qualifications

• Pursuing or recently completed B.Tech / M.Tech / MCA / related field in Computer Science, Data Science, or AI/ML.
• Strong understanding of Python and libraries such as TensorFlow, PyTorch, scikit-learn, pandas, OpenCV, or similar.
• Basic knowledge of OCR tools (Tesseract, EasyOCR, etc.) is a plus.
• Familiarity with databases (SQL/NoSQL) and APIs.
• Strong problem-solving ability and eagerness to learn.
• Good communication and teamwork skills.

What We Offer

• Exposure to real-world AI applications in logistics and supply chain management.
• A chance to contribute directly to a live product used in the USA market.
• Certificate of completion and possible transition into a full-time role based on performance.

Job Types: Fresher, Internship
Contract length: 3 months

Work Location: In person