Descripción del puesto:
Number of Position(s):1
Duration: 4 Months
Date: May to August, 2026
Location: Onsite 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 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 MLOps 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
Requerimientos del candidato/a:
* 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.
* 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.
* Clear communication and a collaborative mindset for cross-disciplinary work.
* Drive to innovate and push boundaries in telecom and AI
| Origen: | Web de la compañía |
| Publicado: | 01 Ene 2026 (comprobado el 02 Ene 2026) |
| Tipo de oferta: | Prácticas |
| Duración: | 4 meses |
| Idiomas: | Inglés |
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