Salary
≈ $33k – $83k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 10+ years exp
Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Sep 17, 2026. Nokia scores A on the Alion truth index.
Overview
Company
Impact
Profile match
Nokia is a Finnish telecommunications equipment company founded in 1865 as a paper mill, which became the world's largest mobile phone maker in the 1990s before selling that business to Microsoft in 2014. It now supplies network infrastructure to operators and enterprises, covering radio access equipment for mobile networks, optical and IP routing for transport networks, fixed broadband access, and a technologies division that licenses its cellular patent portfolio. Headquartered in Espoo and listed in Helsinki and New York, it runs Nokia Bell Labs as its research arm and has been expanding into data centre networking as operator spending has slowed.
Backed by Oak Investment Partners, Mercury Fund
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.
- 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.
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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