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Senior Staff Engineer
Senior Staff EngineerNokia • Sunnyvale, CA, United States
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Senior Staff Engineer

Senior Staff Engineer

Nokia • Sunnyvale, CA, United States
7 days ago
Job type
  • Full-time
Job description

The Nokia CNS AI R&D (AIRD) 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, AIRD is building a suite of best-in-class technologies recognized across the industry. As a Staff AI Engineer at Nokia, you will lead cutting‑edge research and development of AI solutions that harness the power of Generative AI, intelligent agents, deep learning, and machine learning. Your work will support a wide range of products and platforms—from advanced analytics and cybersecurity to core telecom capabilities.

Qualifications

You Have :

  • 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.

It would be nice if you also had :

  • MS or PhD in Computer Science or Engineering, Mathematics, or a related field.
  • Prior experience in telecom industry.
  • P.S : This position is on-site role and requires the candidate to be based in Sunnyvale, California.

    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.
  • #J-18808-Ljbffr

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    Senior Staff Engineer • Sunnyvale, CA, United States

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