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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.
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At least 5 years of relevant machine learning experience
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MS or PhD in Computer Science or Engineering, Mathematics, or a related field.
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Experience with machine learning, optimization algorithms, deep-learning techniques
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Experience with machine learning frameworks (e.g., Tensor Flow, Py Torch).
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Experience with search engines and vector databases, along with their underlying algorithms.
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Experience with big data frameworks and technologies such as Spark, Kafka, Cassandra.
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Design, develop, and deploy advanced AI/ML models and algorithms to analyze and interpret complex data.
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Design and implement machine learning models to improve a wide range of applications including search, forecasting, text mining and more.
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Develop and implement agentic-based systems for a wide range of applications including anomaly detection, root-case analysis and more.
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Optimize existing machine learning models and pipelines for performance, scalability, and resource efficiency.
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About Nokia

Nokia
PublicNokia Corporation is a Finnish multinational telecommunications, information technology, and consumer electronics corporation, originally established as a pulp mill in 1865.
10,001+
Employees
Espoo
Headquarters
Reviews
3.6
25 reviews
Work Life Balance
3.8
Compensation
2.7
Culture
3.9
Career
2.9
Management
2.8
65%
Recommend to a Friend
Pros
Good work-life balance and flexible schedules
Strong company culture and nice people
Excellent benefits and learning opportunities
Cons
Low salary and compensation issues
Limited growth and career opportunities
Frequent leadership changes and lack of direction
Salary Ranges
22 data points
JG9
L5
Mid/L4
Staff/L6
JG9 · Data Scientist JG9
0 reports
$146,667
total / year
Base
-
Stock
-
Bonus
-
$124,667
$168,667
Interview Experience
7 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
57%
Experience
Positive 14%
Neutral 72%
Negative 14%
Interview Process
1
Application Review
2
Technical Phone Screen
3
Technical Interview
4
HR Interview
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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