Nokia is looking to advance connectivity for the AI era by developing advanced AI/ML models and algorithms to analyze complex data, improve applications like search and forecasting, and develop agentic-based systems for anomaly detection and root-cause analysis.
Requirements
- Machine learning, optimization algorithms, and deep-learning techniques.
- Machine learning frameworks (e.g., TensorFlow, PyTorch).
- Search engines and vector databases, along with their underlying algorithms.
- Big data frameworks and technologies such as Spark, Kafka, and Cassandra.
Responsibilities
- 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-cause analysis, and more.
- Optimize existing machine learning models and pipelines for performance, scalability, and resource efficiency.
Other
- Currently a candidate for a Master’s or PhD degree in Computer Science or Engineering, Mathematics, or a related field with an accredited school in the US.
- Excellent communication skills and is a team player.
- Flexible and hybrid working schemes to balance study, work, and life
- Professional development events and networking opportunities
- Well-being programs, including Personal Support Service 24/7 - a confidential support channel open to all Nokia employees and their families in challenging situations
