AI Development & Systems Integration Intern (Co-op)
AI Development & Systems Integration Intern (Co-op)
- 1 Vacancy
- 25 Views
Employee type
Full Time, InternshipOffer Salary
Attractive
Job Description
Full job description
About the Role
This is a 4-8 month position
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 Science/Engineering 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.
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.
Key Responsibilities
- Develop Python-based AI models and automation workflows under the direction of the IT Manager.
- Build data pipelines for referral intake, clinical documentation, and billing verification.
- Assist in developing predictive models for:
- Staff scheduling (unionized environment constraints)
- Workforce planning (seasonal demand forecasting)
- Patient-risk prediction
- Support EMR integration tasks, including API connections and automation scripting.
- Contribute to testing, debugging, deployment, and quality assurance.
- Prepare technical documentation and ensure PHIPA-compliant data practices
Required Technical Skills
- Strong Python programming skills.
- Experience with AI/ML libraries (scikit-learn, pandas, numpy, transformers).
- Exposure to Natural Language Processing and predictive analytics.
- Experience with APIs and RESTful integrations.
- Familiarity with RPA tools (UiPath, Power Automate, etc.) is an asset.
- Knowledge of SQL and database concepts.
- Understanding of data security and privacy principles.
Preferred Qualifications
- Enrolment in 3rd, 4th year, or graduate Computer Science, Software Engineering, or related program.
- Experience with automation, healthcare tech, or data science projects is beneficial.
- Strong problem-solving skills and ability to work with minimal supervision.
- Clear written and verbal communication skills.