Working Student – AI/ML Integration Specialist Part-time

Job Description

Subfamily Description

At Nokia, we are dedicated to staying at the forefront of technology and innovation. We are looking for a motivated and tech-savvy working student to join our team and help integrate Artificial Intelligence (AI) and Machine Learning (ML) into our existing processes. This is an exciting opportunity to gain hands-on experience in a dynamic and forward-thinking environment.

Responsibilities

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.

Qualifications

– 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

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.