Core Software AI (CAIE) team is dedicated to inventing and deploying the next generation of intelligent, generative AI and machine learning technologies that will shape Nokia’s future. This team represents a strategic investment and unification of our AI initiatives—transitioning from isolated features to a cohesive, powerful product and platform portfolio. As a central driver of Nokia’s future growth, CAIE is building a suite of best-in-class technologies recognized across the industry. 

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. 

• Design, develop, and deploy advanced AI/ML models and algorithms to analyze and interpret complex data.
• Design and implement machine learning models to improve a wide range of applications including search, forecasting, text mining and more.
• Develop and implement agentic-based systems for a wide range of applications including anomaly detection, root-case analysis and more.
• Optimize existing machine learning models and pipelines for performance, scalability, and resource efficiency.

You Have:

• 10+ years of relevant machine learning experience.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch), deep-learning algorithms and LLMs.
• Experience with search engines and vector databases, along with their underlying algorithms.  
• Experience with big data frameworks and technologies such as Spark, Kafka, Cassandra.

It would be nice if you also had:

• MS or PhD in Computer Science or Engineering, Mathematics, or a related field.
• Expirence with deployment technologies such as Docker, k8s, etc.