Apprenticeship Applied R&D Engineer

Description du poste:

We are a B2B technology innovation leader pioneering networks that sense, think and act™.
At Nokia, we create technology that helps the world act together. We put the world's people, machines and devices in sync to create a more sustainable, productive and accessible future.
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.
The team you will be part of

Our Business Group is a leader in wireless mobility networks and associated services. With more that 3.500 partent families essential for 5G we have a strong 5G portfolio and are a front runner in open and virtualized radio access networks (O-RAN and vRAN).
As an apprentice Applied R&D Engineer, you will embark on a two-year program designed to build expertise in data architecture, AI development, cloud deployment, and data governance. You will contribute to real-world projects, including generative AI tools, cloud-based data solutions, and advanced data integration frameworks. This role offers a unique opportunity to gain hands-on experience while developing skills in leadership, project management, and cutting-edge technologies.

* Data Architecture Development: Assist in building and supervising data architectures, including real-time data engineering, data lakes, and integration frameworks.
* AI Solutions Implementation: Contribute to projects involving machine learning, deep learning, natural language processing, and generative AI.
* Cloud Computing Deployment: Support the automation and deployment of data solutions on cloud platforms, including continuous integration and MLOps/DataOps practices.
* Research and Innovation: Stay updated with advancements in big data frameworks, relational and NoSQL databases, and AI technologies to incorporate best practices into solutions.
* Data Governance: Participate in implementing strategies for data governance, security, and compliance with data regulations.
* Team Collaboration: Work with cross-functional teams to address business challenges using data-driven approaches.
* Leadership Development: Gain experience in managing data projects and leading teams effectively

Profil requis du candidat:

* Educational Background: Currently enrolled in a Master's program in Data Engineering, Artificial Intelligence, Cloud Computing, or a related field.
* Technical Expertise: Knowledge of real-time data engineering, big data frameworks, relational and NoSQL databases, and data visualization tools.
* AI Development Skills: Familiarity with machine learning, deep learning, natural language processing, and generative AI techniques.
* Cloud Computing Knowledge: Understanding of cloud platforms, MLOps/DataOps, and infrastructure orchestration.
* Analytical Skills: Strong problem-solving abilities and the capability to translate complex business requirements into technical solutions.
* Communication Skills: Ability to collaborate effectively in a team environment and present findings clearly.
* Leadership Potential: Interest in developing leadership and project management skills.
* Proactive Mindset: Passion for learning and adapting to new technologies and methodologies