AI Development & Systems Integration Intern (Co-op)

Job Description

<h3>Job Description</h3><p>Job Description<p>Salary: <br /><p>About the Role</p><p><br /></p><p>This is a 4-8 month position</p><p><br /></p><p>CVOS Oral Surgery Group is implementing a series of AI-enhanced operational and clinical systems across five clinics in the GTHA. We are seeking an upper-year or graduate Computer <span >Science/Engineering</span> student to assist our IT Manager in designing, developing, and integrating AI-driven and automation solutions that support clinical documentation, scheduling, referral intake, billing accuracy, and workforce analytics.</p><p>This is a technical, hands-on co-op role where you will build real production tools that directly impact patient care, operations, and system efficiency across our multi-site practice.</p><p><br /></p><p>Key Responsibilities</p><ul><li>Develop Python-based AI models and automation workflows under the direction of the IT Manager.</li><li>Build data pipelines for referral intake, clinical documentation, and billing verification.</li><li>Assist in developing predictive models for:<ul><li>Staff scheduling (unionized environment constraints)</li><li>Workforce planning (seasonal demand forecasting)</li><li>Patient-risk prediction</li></ul></li><li>Support EMR integration tasks, including API connections and automation scripting.</li><li>Contribute to testing, debugging, deployment, and quality assurance.</li><li>Prepare technical documentation and ensure PHIPA-compliant data practices.</li></ul><p><br /></p><p>Required Technical Skills</p><ul><li>Strong Python programming skills.</li><li>Experience with AI/ML libraries (scikit-learn, pandas, numpy, transformers).</li><li>Exposure to Natural Language Processing and predictive analytics.</li><li>Experience with APIs and RESTful integrations.</li><li>Familiarity with RPA tools (UiPath, Power Automate, etc.) is an asset.</li><li>Knowledge of SQL and database concepts.</li><li>Understanding of data security and privacy principles.</li></ul><p><br /></p><p>Preferred Qualifications</p><ul><li>Enrolment in 3rd, 4th year, or graduate Computer Science, Software Engineering, or related program.</li><li>Experience with automation, healthcare tech, or data science projects is beneficial.</li><li>Strong problem-solving skills and ability to work with minimal supervision.</li><li>Clear written and verbal communication skills.</li></ul></p></p>