Job Description

Job Category: Corporate Services
Degree Level: Bachelor's Degree
:
Position: Full Stack Dev Cloud and ML Student
Number of Position(s): 8
Duration: 4 Months
Date: September 2nd to December 19th, 2025
Location: Onsite in Ottawa, Canada
EDUCATIONAL RECOMMENDATIONS
Currently a candidate for a bachelor's or master's in computer engineering, software engineering, computer science, data science or a related field with an accredited school in Canada.
Responsibilities:

• Work with our team for emerging technologies (part of the Nokia Cloud and Network Services organization) on innovative technologies, software, and solutions in the domains of cloud, automation, and AI/ML.
• Get an opportunity to learn and work on innovative technologies that will enable future immersive applications and meta-verse networks, such as autonomous networks, digital twins, GenAI/LLMs, etc.
• We're looking for talented candidates with a passion for software engineering, DevOps, Cloud, Kubernetes, AI/ML and Agentic AI.
• Have an opportunity to work with the best of the talents from Nokia (senior architects, research scientists, and developers), and learn modern technologies and tools.
• Has no discretion to vary from established procedures.

Qualifications:

• Collaborate effectively in a team-oriented environment with international colleagues, showcasing excellent English communication skills in both writing and speaking.
• Exhibit enthusiasm, curiosity, and motivation to learn and explore new things while contributing as a dedicated team player.
• Bring expertise in Java, Golang, or Python programming, as well as skills in cloud technologies, Kubernetes, Git, Linux, scripting, and Full Stack development (client- and server-side).

It would be nice if you also had:

• Interest in cloud engineering (private cloud stacks, AWS, GCP, or Azure)
• Skills in AI/ML in theory and practice, incl. the use of standard libraries like Sklearn, Tensorflow, Pytorch, etc.
• Skills in using LLMs, like prompt-engineering, RAG-pipelines up to building own AI-agents.
• Founded understanding of ML algorithms, especially neural networks, transformers, reinforcement learning, Generative AI/LLMs, and AI-agents.
• Founded understanding of MLOps processes for ML development and runtime and/or LLMOps processes.

About Us:
Come create the technology that helps the world act together
Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people's lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work
What we offer
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.
Nokia is committed to inclusion and is an equal opportunity employer
Nokia has received the following recognitions for its commitment to inclusion & equality:

• One of the World's Most Ethical Companies by Ethisphere
• Gender-Equality Index by Bloomberg
• Workplace Pride Global Benchmark

At Nokia, we act inclusively and respect the uniqueness of people. Nokia's employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
We are committed to a culture of inclusion built upon our core value of respect.
Join us and be part of a company where you will feel included and empowered to succeed.
About the Team: As Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible. '