Analytics/Next-Gen AI Co-op/Intern

Descrizione del lavoro:

Number of Position(s):1

Duration: 4 Months

Date: May to August, 2026

Location: On-site in Ottawa, Ontario

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

Requisiti del candidato:

* 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 PyTorch or TensorFlow 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 OpenShift).
* 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