N
Nokia
AI Engineer

Staff AI Engineer

On-siteStaffAI Engineerposted 3w ago
✦Role summaryAI-generated

This Staff AI Engineer role at Nokia focuses on architecting and deploying cutting-edge AI/ML systems to unify Nokia’s fragmented AI initiatives into a cohesive platform, driving industry-recognized innovations in generative AI and agentic solutions. The position emphasizes end-to-end ownership of advanced models—from research to production—while optimizing pipelines for scalability and real-world applications like anomaly detection and root-cause analysis.

Skills required

About this role

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.

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.

Qualifications

Must 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.

Nice to have:

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