AI & ML Developer Intern

AL & ML Developer Intern Scarborough, ON & Pickering, ON | Internship (4 to 8 months) | Student (completed or in progress) About Us In Trench Canada, we deliver state-of-the-art, safe, and reliable instrument transformers, coils, and bushings for seamless energy transmission. With a legacy of customized engineering and innovation, we enable society to harness the power of electricity with reliability and performance.

We are driven by a commitment to advancing the energy sector through innovative technology and sustainable practices. Our culture emphasizes continuous improvement, attention to detail, and adaptability, while fostering an inclusive and respectful environment where diverse perspectives are valued and everyone has the opportunity to contribute and succeed.

Our Values

• Trust
• Responsibility
• Excellence
• Navigating Change
• Candor
• Humility

Overview Are you passionate about AI/ML and full-stack development? Join us in revolutionizing the energy industry! As part of Project NOVA (Next-gen Optimization with Visionary AI), you'll work directly with our CEO and senior leadership team to build intelligent, scalable applications that drive innovation across departments. This is a unique opportunity to contribute to high-impact solutions while enjoying full freedom to innovate. Your Tasks:

• Collaborate with cross-functional teams to identify AI/ML opportunities.
• Design, build, and deploy ML models.
• Develop and maintain full-stack applications.
• Implement robust data pipelines and workflows (ETL, feature engineering, model versioning) supporting customs and BI use cases.
• Integrate front-end interfaces with cloud services for performance, scalability, and security.
• Create stakeholder-ready visualizations (Power BI/Tableau) and present findings, outcomes, and roadmap updates.
• Ensure performance, scalability, and security of deployed solutions.
• Work closely with domain experts to translate business needs into technical features.

Requirements:

• Degree in Business, Computer Science, Software Engineering, Data Science, Physics, Mathematics, AI/ML, or a related field.
• Strong understanding of machine learning algorithms and techniques.
• Proficiency in programming languages such as Python, JavaScript, or Java.
• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with front-end frameworks (React, Angular, or similar).
• Experience with back-end development using Node.js, Django, or similar.
• Knowledge of Azure cloud services (e.g., Azure App Services, Azure Functions, Azure SQL).
• Experience with vector databases (e.g., Pinecone).
• Strong problem-solving and communication skills.
• Experience with data visualization tools (e.g., Power BI, Tableau).
• Applicants must submit their GitHub profiles alongside resumes.

We offer:

• The opportunity to gain practical experience in the field of optical current measurement technology and sustainable energy transmission in an innovative company
• You will work in a motivated team on forward-looking projects and gain insights into the latest technologies
• Support from experienced professionals in handling the latest measurement technology
• An hourly rate of pay of CAD $22 - $30.

Our Commitment to Inclusion and Accessibility Trench is an equal opportunity employer and is committed to building a diverse and inclusive workforce. We welcome applications from all qualified individuals and provide accommodations for applicants with disabilities throughout the recruitment and selection process. If you require accommodation or support at any stage of the application or interview process, please contact us and we will work with you to meet your needs.

Use of Artificial Intelligence in Recruitment Trench uses artificial intelligence and automated tools as part of its recruitment and screening processes to support efficient and fair candidate evaluation.

Interested in Joining Us? If this opportunity aligns with your career goals, we encourage you to apply by clicking the “Apply Now” button and submitting your application.