**Number of Position(s):**1

Duration: 4 Months

Date: May to August, 2026

Location: On-site in Ottawa, Ontario.

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Telecommunications, or a related field with an accredited school in Canada.
• Proficiency in Python and data analysis libraries (e.g., pandas, scikit-learn); exposure to Py Torch or Tensor Flow is an asset.
• Understanding of machine learning concepts and algorithms, with ability to apply them in prototyping.
• Understanding of agentic ideas and patterns, knowledge on converting automation and services into tools.
• Familiarity with cloud or containerized environments (e.g., Docker, Kubernetes, GCP, Azure, AWS, or Open Shift).
• Curiosity and initiative to work with emerging technologies such as agentic AI systems, MLOps, and data orchestration.
• Strong analytical and problem-solving skills with a bias toward experimentation and iteration.
• Communicate effectively and collaborate across disciplines while driving innovation and pushing boundaries in telecom and AI.

As a part of our team, you will:

• Prototype AI and machine learning models for telecom use cases such as churn prediction, anomaly detection, and network optimization.
• Experiment with agentic AI systems that automate workflows, assist with data analysis, and interact with real data products.
• Support building and conversion of tasks and processes with an automation-first approach to enable scale and AI
• Support the preparation and transformation of telecom data needed for model development and testing.
• Collaborate with data scientists, AI engineers, and telecom specialists, gaining exposure to real-world challenges and problem-solving approaches.
• Learn and apply AIOps practices for training, deployment, and lifecycle management of AI solutions across hybrid cloud and on-prem environments.
• Document experiments, outcomes, and lessons learned to create a lasting knowledge base.