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Apprentice Applied R&D Engineer

Nokia

Massy · On-site Part-time Entry Level Yesterday

About the role

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.

How You Will Contribute And What You Will Learn

  • 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.

Key Skills And Experience

  • 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.

About Us

Advancing connectivity to secure a brighter world.

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.

Learn more about life at Nokia .

Our recruitment process

We act inclusively and respect the uniqueness of people. Our 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.

If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia .

Skills

AIBig DataCloud ComputingData ArchitectureData GovernanceData VisualizationDeep LearningGenerative AIInfrastructure OrchestrationMachine LearningMLOpsNatural Language ProcessingNoSQLO-RANPostgreSQLReal-time Data EngineeringRelational DatabasesvRAN

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