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About the Role

Join a special task force, Project NOVA, to identify efficiency needs and develop cutting-edge AI and data management solutions for the energy industry. Work directly with the CEO and senior leadership, with full freedom to innovate across Mechanical, Electrical, and Industrial/Process engineering tracks.

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.
• Apply AI/ML techniques using Azure Machine Learning.
• Analyze production and operational processes to identify inefficiencies and bottlenecks.
• Assist in designing AI/ML algorithms to optimize industrial processes and improve operational efficiency.
• Translate customer needs into technical specifications.

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.
• Indicate preferred area(s) of focus (Mechanical, Electrical, and/or Industrial/Process) in your application.

Skills

• AI/ML
• Data Management
• Python
• NumPy
• SciPy
• 3D visualization libraries (PyVista, Matplotlib, Plotly)
• OpenFOAM
• Fluid-structure interaction
• Azure Machine Learning
• Azure cloud platforms
• Vector databases (Pinecone)
• Tableau
• Power BI
• TensorFlow
• PyTorch
• scikit-learn

Location

• Scarborough, ON
• Pickering, ON

Work Type

• Internship (4 to 8 months)
• Student

Experience Level

• Student (completed or in progress)

Education Level

• Degree in Mechanical Engineering, Electrical Engineering, Industrial/Process Engineering, Mechatronics, or a related field.

Salary/Compensations

• CAD $22 - $30 per hour

Benefits

• Gain practical experience in optical current measurement technology and sustainable energy transmission.
• Work in a motivated team on forward-looking projects.
• Gain insights into the latest technologies.
• Support from experienced professionals.
• Hourly rate of pay

About the Company

• In Trench Canada, we deliver state-of-the-art, safe, and reliable instrument transformers, coils, and bushings for seamless energy transmission.
• We enable society to harness the power of electricity with reliability and performance.
• Driven by a commitment to advancing the energy sector through innovative technology and sustainable practices.
• Culture emphasizes continuous improvement, attention to detail, and adaptability.
• Fosters an inclusive and respectful environment where diverse perspectives are valued and everyone has the opportunity to contribute and succeed.
• Values: Trust, Responsibility, Excellence, Navigating Change, Candor, Humility.

Equal Opportunity

• 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.
• Trench uses artificial intelligence and automated tools as part of its recruitment and screening processes to support efficient and fair candidate evaluation.