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Nokia
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Nokia
Posted 3 months ago
Full Time
,
In Person
Smart Summary
Responsibilities
The role involves translating large datasets from optical communication test platforms into predictive models and automated diagnostics. You will work across product lines to provide yield intelligence and data-driven test methods.
Qualifications
You have a Master's or PhD in Data Science, Machine Learning, Electrical Engineering, or Computer Science. You are adept at translating large datasets into predictive models and automated diagnostics, leveraging your skills in big data infrastructure and machine learning.
Must Have Skills for ATS
Machine Learning
Data Science
Big Data
Python
Electrical Engineering
Computer Science
Job Description
As a Machine Learning Test Capability Engineer at Nokia, you will join a dynamic team focused on advancing optical communication technologies through intelligent, data-driven test methods. Reporting directly to the Sr. Manager of Test Capability Engineering, you will work alongside a team of test capability engineers embedded across our coherent pluggable product lines. Your role bridges big data infrastructure, machine learning, and manufacturing test — translating the rich datasets generated by our test platforms into predictive models, automated diagnostics, and yield intelligence. The collaborative environment fosters open communication, where your insights and feedback are valued and drive meaningful change. Enjoy competitive compensation, a comprehensive benefits package, and opportunities for professional growth in a state-of-the-art facility.
We are looking for recent or upcoming graduates (MS or PhD) in Data Science, Machine Learning, Electrical Engineering, or Computer Science.
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.
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