AI & ML Intern - Electrical Engineer
- Toronto, ON, Canada
$22 to $26 CAD / hour
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Job details
- Pay
- $22 to $26 CAD / hour
- Posting language
- English
- Posted
Original job description
AL & ML Intern - Electrical Engineer
Scarborough, ON | Internship (8-12 months) | Full-Time | Student (not graduated yet)
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
Trench Coils, an air core reactor manufacturing facility, is seeking a motivated and detail-oriented Electrical Engineering Intern to help bridge the gap between electrical engineering and AI innovation within our on-site R&D team. In this role, you will contribute to the development of intelligent design tools and automated documentation solutions that modernize and streamline how we engineer and deliver air core reactors. Working closely with experienced engineers, you will help integrate AI and ML technologies into practical workflows, making it faster, easier, and more reliable to design, build, and document our products. This is an excellent opportunity for a student or recent graduate eager to apply their academic knowledge in a real industrial environment, gaining hands-on experience where their contributions will have a direct and meaningful impact on our engineering processes.
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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.
More about this job
Responsibilities
Develop and integrate AI/ML models and web applications to automate engineering workflows for air core reactor design. Collaborate with the R&D team to modernize documentation and validate model outputs against physical engineering standards.
Requirements
Requires a Bachelor's degree in Electrical Engineering with proficiency in Python and ML libraries like TensorFlow or PyTorch. Candidates should have foundational knowledge of power systems, electromagnetic theory, and exposure to web frameworks and SQL.
Skills
- Python
- TensorFlow
- PyTorch
- SQL
- Electrical Engineering
- Machine Learning
- Generative AI
- Web Application Frameworks
- Power Systems
- Electromagnetic Theory
- Circuit Design
- Transformer Design
- Control Systems
- Relational Databases
- Technical Documentation
- R&D
Benefits
- Practical Experience In Optical Current Measurement Technology
- Exposure To Latest Technologies
- Mentorship From Experienced Professionals
Visa sponsorship
Not detected in the job text
Categories
- Engineering
- Technology
- Energy
- Manufacturing
- Data & Analytics
Keywords
- AI
- Machine Learning
- Electrical Engineering
- Air Core Reactors
- Python
- TensorFlow
- PyTorch
- SQL
- Angular
- React
- Vue
- Flask
- Power Systems
- Electromagnetic Theory
- Circuit Design
- Control Systems
- Generative AI
- R&D
- Industrial Automation
- Energy Transmission
- Instrument Transformers
- Coils
- Bushings
- Sustainable Energy
- Technical Documentation