Full-stack & AI/Automation Intern/Coop

Beschreibung:

Position: Full-stack & AI/Automation Intern/Coop
Number of Positions: 1
Duration: 4 months
Date: May 11th - August 21st, 2026
Location: Ottawa, ON, Canada
Education Recommendations:
Currently pursuing a degree in a MSc in Computer Sciences.

As Part of the Team You Will:
* Develop Python-based scripts and control software to automate optical lab equipment and experimental procedures.
* Design and implement data pipelines for real-time acquisition, processing, and quality control of high-volume optical system data.
* Research, evaluate, and integrate the latest developer-focused AI/ML tools (e.g., code assistants, specialized testing tools) into our existing development environment.
* Contribute to leveraging our internal Generative AI infrastructure to create bespoke tools that enhance developer productivity and workflow efficiency.
* Assist in developing scalable server-side logic using Django and Python, specifically focusing on data storage patterns optimized for automated and AI-ready data sets.
* Apply database design and management principles for efficient, high-performance data storage and retrieval in the cloud.
* Collaborate closely with the team to contribute to designing, developing, and maintaining responsive web applications (TypeScript, GraphQL).
* Gain hands-on experience with Microsoft Azure cloud services (storage, compute, functions) and understand their integration with data and automation workflows.
* Engage in a personalized learning program to acquire or deepen skills in all mentioned technologies.
* Actively participate in Test-Driven Development (TDD) practices, writing and executing tests to ensure code reliability and data integrity.
* Work closely with senior engineers and lab scientists, learning from their experience and translating complex requirements into robust software solutions

Ihr Profil:

You're a Great Fit If You Have:
* Core Programming: Basic knowledge of Python (required for automation) and TypeScript/JavaScript.
* Data & Automation Focus: Strong interest or familiarity with scientific computing, data logging, or hardware control (e.g., using libraries like NumPy, Pandas, Plotly).
* AI/ML Curiosity: Eagerness to learn about and apply developer-focused AI tools and generative models.
* Web Development Fundamentals: Familiarity with HTML, CSS, and basic principles of full-stack architecture.
* Version Control: Understanding version control systems, preferably Git.
* Proactive Learning: Ability to learn quickly, adapt to new technologies, and actively seek guidance when needed.
* Communication: Strong communication skills and the ability to articulate technical concepts to both engineering and scientific audiences