Nokia CNS AI R&D (AIRD) team is looking to invent and deploy the next generation of intelligent, generative AI and machine learning technologies to shape Nokia's future and drive growth by transitioning from isolated features to a cohesive, powerful product and platform portfolio.
Requirements
- 6+ years of relevant machine learning experience.
- Experience with machine learning, optimization algorithms, deep-learning techniques.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with search engines and vector databases, along with their underlying algorithms.
- Experience with big data frameworks and technologies such as Spark, Kafka, 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-case analysis and more.
- Optimize existing machine learning models and pipelines for performance, scalability, and resource efficiency.
Other
- MS or PhD in Computer Science or Engineering, Mathematics, or a related field.
- Prior experience in telecom industry.
- 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.
- US/Canada Nokia Offers a comprehensive benefits package that includes but is not limited to: Corporate Retirement Savings Plan, Health and dental benefits, Short-term disability, and long-term disability, Life insurance, and AD&D – Company paid 2x base pay, Optional or Supplemental life and AD&D insurance (Employee/Spouse/Child), Paid time off for holidays and Vacation, Employee Stock Purchase Plan, Tuition Assistance Plan, Adoption assistance, Employee Assistance Program/Work Life Resource Program.
