AI Python Developer – (OCR, NLP, Tokenization) Company: Care Monitoring System Location: Remote “USA Based” Employment Type: Contract (with potential to extend) Experience Level: Mid to Senior Level (5+ years in AI development) About the Role We are seeking an experienced AI Python Developer to help finalize an existing AI module designed to auto-populate medication data from various pharmacy PDF formats into our HIPAA-compliant eMAR system. You’ll take over a partially completed system and enhance its accuracy and performance using OCR, NLP, tokenization, and structured JSON output. Responsibilities ·      Review and improve the current AI model and codebase. ·      Extract medication data from various types of PDFs (scanned, typed, structured, unstructured). ·      Apply OCR tools (e.g., Tesseract, Google Document AI). ·      Use tokenization and NLP techniques to parse instructions, frequency, and medication names. ·      Convert parsed data into clean JSON structure for integration into our Laravel-based eMAR system. ·      Collaborate with backend developers for smooth API/data flow. Requirements ·      5+ years of experience in AI/ML development using Python. ·      Proficient in Python with expertise in OCR and NLP. ·      Familiar with libraries such as spaCy, PyPDF2, Hugging Face, TensorFlow, OpenCV, and Tesseract. ·      Solid understanding of tokenization, named entity recognition (NER), and NLP pipelines. ·      Ability to produce structured JSON outputs. ·      Experience working with or integrating into Laravel/PHP systems is a plus. ·      Ability to work independently and deliver production-quality results. Preferred ·      Background in healthcare AI,  or eMAR systems. ·      Understanding of HIPAA compliance and secure data handling.