Job Details

* Apply computer vision techniques to automate warehouse and logistics workflows, such as:* Develop and deploy computer vision models for object detection, tracking, and anomaly detection in logistics workflows (e.g., pallet counting, dock monitoring, trailer in/out verification).* Build and maintain OCR and document understanding pipelines for extracting structured data from BOLs, ASNs, invoices, packing lists, and other logistics PDFs* Integrate camera-based recognition systems (e.g., license plate recognition, packed item verification, activity recognition) into warehouse operations.* Collaborate with operations teams to validate AI outputs against real logistics scenarios.* Assist in developing prototypes, testing models, and refining algorithms to improve accuracy and efficiency.* Support documentation of processes, findings, and best practices for ongoing projects.* Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field.* Strong academic or project experience in computer vision, deep learning, or machine learning.* Familiarity with libraries and frameworks such as OpenCV, TensorFlow, or PyTorch.* OCR & Document AI: Tesseract, PaddleOCR, LayoutLM, Donut, or commercial services (AWS Textract, Google Vision, Azure Form Recognizer)* Solid programming skills in Python (preferred) or similar languages.* Strong analytical and problem-solving abilities.* Excellent communication and collaboration skills, with the ability to work closely with both technical and operations teams.Preferred Skills* Prior project or internship experience applying AI/ML in logistics, supply chain, or manufacturing environments.* Knowledge of warehouse management systems or logistics processes.