AI & ML Intern – Applied Sciences
About The Position
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. Are you passionate about AI/ML and have hands-on experience in practical applications? Join us in revolutionizing the energy industry! We're forming a special task force to identify efficiency needs from various perspectives and develop cutting-edge solutions using AI and data management. Be a part of Project NOVA (Next-gen Optimization with Visionary AI) and work directly with our CEO and senior leadership team, enjoying full freedom to innovate. This posting covers three engineering tracks within Project NOVA — Mechanical, Electrical, and Industrial/Process — each helping bridge the gap between engineering and AI innovation. As an AI & ML Intern, you'll apply your technical expertise to guide model selection and ensure AI solutions meet real-world engineering needs. Candidates should indicate their preferred track(s) when applying.
Requirements
- Pursuing or recently completed a degree in Mechanical Engineering, Electrical Engineering, Industrial/Process Engineering, Mechatronics, or a related field.
- Strong understanding of machine learning algorithms.
- Proficiency in Python, R, or Java; solid coding experience required.
- Experience with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong analytical, problem-solving, communication, and presentation skills.
- Ability to translate real-world engineering needs into technical specifications.
- Applicants must submit their GitHub profiles alongside resumes.
- Please indicate your preferred area(s) of focus (Mechanical, Electrical, and/or Industrial/Process) in your application.
Nice To Haves
- OpenFOAM or fluid-structure interaction experience is a bonus but not required.
Responsibilities
- Collaborate with cross-functional teams to identify AI/ML opportunities and gather data requirements.
- Design, build, and deploy AI/ML models.
- Analyze large datasets to extract insights, trends, anomalies, and opportunities for improvement.
- Support data preprocessing, feature engineering, and model evaluation.
- Document development processes, methodologies, and results for project reports.
- Present findings to stakeholders using visualizations and reports.
- Stay current with AI/ML advancements and bridge engineering and AI requirements.
- Foundational understanding of finite element analysis — structural dynamics, modal analysis, eigenvalue problems, and mode shapes.
- Proficient in Python with hands-on experience using NumPy and SciPy for numerical data processing.
- Experience with 3D visualization libraries — PyVista, Matplotlib, or Plotly.
- Apply AI/ML techniques using Azure Machine Learning.
- Knowledge of Azure cloud platforms.
- Experience with vector databases (e.g., Pinecone).
- Analyze production and operational processes to identify inefficiencies and bottlenecks.
- Assist in designing AI/ML algorithms to optimize industrial processes and improve operational efficiency.
- Ability to translate customer needs into technical specifications.
Benefits
- 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.
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What This Job Offers
Career Level
Intern
Education Level
Associate degree
