Nokia
Overview
The Nokia CNS AI R&D (AIRD) team's mission is to invent and deploy the next generation of intelligent, generative AI, and ML technologies that will define the future of Nokia. This team represents a major investment and consolidation of our AI efforts, created to move from siloed features to a unified and powerful product & platform portfolio. We are the future powerhouse for driving the of Nokia's future business growth and building a suit of technologies that is recognized externally as best-in-class.
Qualifications
At least 2 years of relevant machine learning experience
MS or PhD in Computer Science or Engineering, Mathematics, or a related field.
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.
Have excellent communication skills and is a team player.
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.
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Qualifications
At least 2 years of relevant machine learning experience
MS or PhD in Computer Science or Engineering, Mathematics, or a related field.
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.
Have excellent communication skills and is a team player.
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