Senior ML Engineer
Nokia
Software Engineering, Data Science
India
Posted on Nov 26, 2025
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.
About Nokia
Join us in creating the technology that helps the world act together.
We are a B2B technology innovation leader, pioneering networks that sense, think and act™, putting the world’s people, machines and devices in sync to create a more sustainable, productive and accessible future.
About the Business Group
In Cloud and Network Services, as Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible.
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As a Senior ML 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. Nokia’s innovation in AI depends on the groundbreaking solutions you will help create.
You Have:
- 6+ years of relevant machine learning experience.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch), optimization algorithms, deep-learning techniques.
- 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.
- 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.