• Job Description

  Req#: 13638

  Position: Full-Stack and AI/ML Development Student
  Number of Position(s): 8
  Duration: 4 Months+
  Date: April 28, 2025 - August 29, 2025
  Location: On-site

  The team you'll be part of
  
  Cloud and Network Services (CNS): 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.
  
  The CNS Emerging Technologies business unit charts a cohesive technology strategy and vision for CNS, working with all business units and customers to develop disruptive products and solutions that enable growth
  
  EDUCATIONAL RECOMMENDATIONS

  Currently a candidate for a Bachelor's, Master’s, or Diploma in Computer Science, Telecommunications, or a related field with an accredited school in Canada.

  Qualifications

  • Skills and experience in Java, Golang, or Python programming
  • Skills and experience in clouds and Kubernetes, experience with Git, Linux & scripting
  • Skills and experience in both client- and server-side development (Full Stack)

  
  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.
  • Founded understanding of ML algorithms, especially neural networks, transformers, Generative AI/LLMs, and/or reinforcement learning
  • Founded understanding of MLOps processes for ML development and runtime
  • Ability to work well in a team-oriented environment with international colleagues with excellent English
    communication skills (both writing and speaking)
  • Demonstrate enthusiasm, curiosity, and motivation to learn and try new things and be a dedicated team player

  Responsibilities

  As a part of our team, you will:

  • 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,
    and Machine Learning.
  • Have an opportunity to work with the best of the talent from Nokia (senior architects, research scientists, and developers), and learn modern technologies and tools.
  • Has no discretion to vary from established procedures.
    

• About the company

  Nokia’s transition to a primary focus on telecommunications began in the 1990s. The first GSM call was made in 1991 using Nokia equipment. Rapid success in the mobile phone sector allowed Nokia to become by 1998, the best-selling mobile phone brand in the world. In 2003 Nokia introduced the first camera phone. In 2011, to address increasing competition from iOS and Android operating systems, Nokia entered into a strategic partnership with Microsoft. In 2014 Nokia sold its mobile and devices division to Microsoft. The creation of Nokia Networks, following the buy-out of joint-venture partner Siemens in 2013, laid the foundation for Nokia’s transformation into primarily a network hardware and software provider. The 2015 acquisition of Franco-American telecommunications equipment provider Alcatel-Lucent greatly broadened the scope of Nokia’s portfolio and customer base. Additional acquisitions have positioned Nokia to be an industry leader in the transition to 5G wireless technology by offering the only end-to-end 5G network portfolio available on a global basis. In 2016 the Nokia brand re-entered the mobile handset market through a licensing agreement with HMD Global, allowing them to offer phones under the Nokia brand.

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