Staff AI Engineer

Posted One Month Ago
Be an Early Applicant
2 Locations
Remote or Hybrid
Expert/Leader
Software
The Role
Design, develop, deploy, and optimize advanced AI and machine learning models, pipelines, and agentic systems. Apply deep learning and LLMs to search, forecasting, text mining, anomaly detection, and root-cause analysis. Improve scalability, performance, and resource efficiency while working with search engines, vector databases, big data technologies, and deployment platforms.
Summary Generated by Built In

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.
About Us
Advancing connectivity to secure a brighter world.

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world. 

Learn more about life at Nokia.


Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia. 

Skills Required

  • 10+ years of relevant machine learning experience
  • Experience with machine learning frameworks such as TensorFlow or PyTorch
  • Experience with deep-learning algorithms and large language models
  • Experience with search engines, vector databases, and their underlying algorithms
  • Experience with big data frameworks and technologies such as Spark, Kafka, and Cassandra
  • MS or PhD in Computer Science, Engineering, Mathematics, or a related field
  • Experience with deployment technologies such as Docker and Kubernetes

Nokia Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nokia and has not been reviewed or approved by Nokia.

  • Equity Value & Accessibility — Equity programs include a global employee share purchase plan with company matching and multi‑year share awards. These mechanisms broaden participation and tie rewards to long‑term outcomes.
  • Healthcare Strength — Health coverage includes major medical plans with supplementary options such as vision, legal services, and care navigation. The range of offerings indicates comprehensive support for medical needs.
  • Parental & Family Support — A global policy grants paid leave for new parents regardless of gender and provides structured return‑to‑work support. Company‑paid life insurance further strengthens family protection across regions.

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The Company
HQ: Espoo
132,624 Employees

What We Do

At Nokia, we create technology that helps the world act together. As a trusted partner for critical networks, we are committed to innovation and technology leadership across mobile, fixed and cloud networks. We create value with intellectual property and long-term research, led by the award-winning Nokia Bell Labs. Adhering to the highest standards of integrity and security, we help build the capabilities needed for a more productive, sustainable and inclusive world.

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