NOKIA
Number of Positions:
1 Duration:
4 months Dates:
11th May - 21st Aug (tentatively) Location:
Sunnyvale (On-site)
Education Recommendations: Currently a candidate for a Master's or PhD degree in Computer Science or Engineering, Mathematics, or a related field with an accredited school in the US.
As part of our team, you will:
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.
Work on implementing machine learning systems for enterprise use cases such as anomaly detection, RAG, training platform, and more.
Develop and implement agentic-based systems for a wide range of applications, including anomaly detection, root-cause analysis, and more.
Optimize existing machine learning models and pipelines for performance, scalability, and resource efficiency.
Qualifications:
Strong knowledge of machine learning, optimization algorithms, and deep-learning techniques.
Experience with leading ML frameworks, such as TensorFlow or PyTorch.
Familiarity with search engines, vector databases, and their underlying algorithms.
Knowledge of big data frameworks and technologies, including Spark, Kafka, and Cassandra.
Excellent communication skills and the ability to collaborate effectively in a team environment.
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.
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1 Duration:
4 months Dates:
11th May - 21st Aug (tentatively) Location:
Sunnyvale (On-site)
Education Recommendations: Currently a candidate for a Master's or PhD degree in Computer Science or Engineering, Mathematics, or a related field with an accredited school in the US.
As part of our team, you will:
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.
Work on implementing machine learning systems for enterprise use cases such as anomaly detection, RAG, training platform, and more.
Develop and implement agentic-based systems for a wide range of applications, including anomaly detection, root-cause analysis, and more.
Optimize existing machine learning models and pipelines for performance, scalability, and resource efficiency.
Qualifications:
Strong knowledge of machine learning, optimization algorithms, and deep-learning techniques.
Experience with leading ML frameworks, such as TensorFlow or PyTorch.
Familiarity with search engines, vector databases, and their underlying algorithms.
Knowledge of big data frameworks and technologies, including Spark, Kafka, and Cassandra.
Excellent communication skills and the ability to collaborate effectively in a team environment.
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.
#J-18808-Ljbffr