We work on AI solutions for enhancing current processes in different service domains, in a very dynamic and fast pacing environment with continuous personal development in the field. You will work with Solution Owners and AI Engineering team, handing on AI/ML, Data Science, AIOps/MLOps technologies. Our Business Group is a leader in wireless mobility networks and associated services. With more than 3.500 patent 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).
Responsibilities- Collaborate with solution consultants and solution owners to brainstorm AI/ML applications for problem-solving.
- Blend historical data from diverse sources (customer network data, public information, field reports, etc.) to build efficient algorithms.
- Apply advanced technologies and techniques, including predictive analytics, natural language processing, computer vision, and optimization algorithms.
- Work closely with software and data engineers to integrate AI/ML algorithms into industrial products.
- Engage in AI/ML projects across all phases: discovery, proof of concept, industrialization, and deployment.
- Conduct functional and technical analysis of customer needs, design solutions, and document results in terms of data analysis and performance.
- Establish connections with research councils and academic institutions, focusing on countries with high AI Readiness Index.
- Collaborate with European and American research institutions to leverage bilateral scientific and technological advances.
You have:
BSc in Statistics, Machine Learning, Data Science, Computer Science, Computer Engineering, or a related field
- Machine Learning concepts: supervised and unsupervised learning, linear and logistic regressions, random forests, gradient boosting, neural networks (RNN, LSTM, CNN), text mining and topics extraction, NLP, K-Means, decision trees, ML applied to computer vision
- Knowledge of Python (scikit-learn, Pandas, NumPy, etc), Jupyter, Spark/Scala or R data science libraries
- Knowledge of Generative AI and Agentic AI
- English (written and verbal)
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.
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.
- Flexible and hybrid working schemes
- Well-being programs to support your mental and physical health
- Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs)
- Employee Growth Solutions to support your personalized career & skills development
- Diverse pool of Coaches & Mentors to whom you have easy access
- A learning environment which promotes personal growth and professional development - for your role and beyond
