AI / ML Engineering Intern

Company Description OneRx is a comprehensive digital platform designed to empower independent pharmacies across Canada through innovation, technology, and data intelligence. The platform integrates pharmacy operations, purchasing optimization, and data analytics into a single ecosystem, helping pharmacies operate more efficiently and profitably.Role Description You'll work directly with our AI engineer on the systems that read pharmacy documents (prescriptions, supplier invoices, claim responses, clinical notes) and turn them into trusted data. You'll learn how production AI is built, tested and kept safe in healthcare, and you'll be ready to keep things running when the AI engineer is away.What you'll do

• Build and label test sets of synthetic and de-identified documents with our pharmacist
• Write evaluation scripts: accuracy per field, error categories, weekly reports
• Benchmark OCR and LLM approaches and compare cost, speed and accuracy
• Curate reference data: drug name variations, prescription directions, document templates
• Generate synthetic test documents, including tricky edge cases
• Write tests, fix bugs and document how things work
• Cover routine monitoring and run-books with support from the teamQualificationsFoundational knowledge of machine learning concepts (e.g., supervised/unsupervised learning, model evaluation, feature engineering) and interest in applying them to healthcare or pharmacy-related data.Experience with programming languages commonly used in AI/ML, such as Python, and familiarity with libraries and frameworks (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch).Basic understanding of data handling and analysis, including data cleaning, preprocessing, and exploratory data analysis; exposure to SQL or other data query tools is an asset.Ability to write clear, maintainable code, follow version control practices (e.g., Git), and work within collaborative development workflows.Strong analytical and problem-solving skills, attention to detail, and capacity to learn quickly in a dynamic, remote environment.Effective written and verbal communication skills and ability to work inclusively with cross-functional teams.Enrollment in or completion of a degree or diploma program in Computer Science, Data Science, Engineering, Mathematics, or a related field (or equivalent practical experience).Interest in healthcare technology, pharmacy operations, or data-driven platforms; prior project or internship experience in these areas is beneficial but not required.