Stellenanzeige: HR Business Partner (m/f/d) - Trench Germany GmbH
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.
