Join Nokia as a Working Student, where you will play a vital role in integrating Artificial Intelligence (AI) and Machine Learning (ML) into our innovative projects. You’ll collaborate with experienced professionals to tackle real-world challenges and contribute to groundbreaking solutions that align with our mission to lead in technology and innovation. This unique opportunity allows you to develop hands-on experience while making a tangible impact on how we utilize AI and ML in our products and services, all within a dynamic and supportive team environment. Your contributions will help shape the future of telecommunications!

Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Engineering, or a related field in Germany.
Strong interest in AI/ML technologies and their applications in business.
Basic understanding of machine learning algorithms and data science principles.
Proficiency in programming languages such as Python, R, or Java.
Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus.
Strong analytical and problem-solving skills.
Excellent communication and teamwork abilities.
Ability to work independently and manage time effectively.

Workplace: Germany, ULM

Work is on site/hybrid

AI/ML Research and Development:

Assist in identifying potential applications of AI/ML within the organization.
Conduct research on current AI/ML trends, tools, and technologies.
Develop proof-of-concept models to demonstrate the feasibility of AI/ML applications.

Data Preparation and Analysis:

Collect, preprocess, and analyze data relevant to AI/ML projects.
Work with large datasets to extract meaningful insights and patterns.
Collaborate with data scientists to ensure data integrity and accuracy.

Model Development and Testing:

Assist in designing, developing, and testing AI/ML models.
Evaluate model performance and fine-tune algorithms to improve accuracy.
Implement best practices for model validation and deployment.

Integration and Deployment:

Support the integration of AI/ML models into existing systems and workflows.
Collaborate with IT and software development teams to ensure seamless implementation.
Monitor and maintain deployed models to ensure continuous performance.

Documentation and Reporting:

Document AI/ML processes, methodologies, and project outcomes.
Prepare and present reports on project progress and findings.
Create user manuals and guides for AI/ML tools and applications.

Collaboration and Communication:

Work closely with cross-functional teams to understand business needs and objectives.
Communicate complex technical concepts to non-technical stakeholders.
Participate in team meetings and contribute to brainstorming sessions.