AI/ML Coop/Intern - Canada

Only for registered members Canada

9 hours ago

Default job background
Description · Name of the position: AI/ML Coop/Intern · Number of Position(s): 1 · Duration: 3-4 Months · Date: May - August 2026 · Location: Hybrid, Ottawa-Canada · EDUCATIONAL RECOMMENDATIONS · Currently enrolled as a junior or senior in a Bachelor's degree program in Artificia ...
Job description
Description

Name of the position: AI/ML Coop/Intern
Number of Position(s): 1
Duration: 3-4 Months
Date: May - August 2026
Location: Hybrid, Ottawa-Canada

EDUCATIONAL RECOMMENDATIONS

Currently enrolled as a junior or senior in a Bachelor's degree program in Artificial Intelligence, Telecommunications, Computer Science, Computer Engineering, Information Systems, or a related field at an accredited Canadian institution.
 

Responsibilities
  • Gain basic knowledge of the Nokia Products, with a particular focus on the deployment, delivery, and operational aspects of Custom Application and Solution products.
  • Actively participate in experimental initiatives within the Nokia Lab, working on innovative automation and AI-driven operational workflows, including end-to-end closed-loop automation use cases.
  • Conduct comprehensive analyses of experimental outcomes, benchmarking them against existing customer processes to identify gaps, inefficiencies, and opportunities for enhancement.
  • Prepare detailed reports on findings, providing actionable insights and recommendations to optimize and improve the current automation solutions and operational workflows.
Qualifications
  • Familiarity with software programming for AI agentic frameworks, data analytics, and strong grasp of algorithms and data structures to solve real-world challenges efficiently.
  • Proactive, inquisitive mindset with a can-do attitude toward learning new technologies, tools, and concepts in dynamic environments.
  • Strong programming skills in Python; experience with C++, Go, or Java is a plus, along with exposure to big data ecosystems (Hadoop, Spark) or data processing pipelines.
  • Interest or background in Artificial Intelligence (AI) or Machine Learning (ML) through projects, research, or personal initiatives.
  • Familiarity with distributed systems, containerization, and orchestration tools (e.g., Docker, Kubernetes), plus ability to analyze problems, design experiments, and debug complex system interactions.
  • Excellent communication skills and proven effectiveness in collaborative team settings.



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