
Ai/ml Intern
3 days ago
**About Us**We 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 Overview**We 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**
- 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
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