Senior Principal ML Engineer — Real-Time GenAI & Cloud

Extreme Networks; United States; À distance; USD 180 000 - 320 000; Plein temps

Résumé du poste

Extreme Networks seeks an AI Senior Principal Machine Learning Engineer to lead the design and delivery of real-time ML solutions for network management. You will mentor engineers, shape technical strategy, and drive end-to-end lifecycle from design to production.

The role emphasizes generative AI, large-scale data processing, and deploying high-performance ML models across cloud environments. Collaboration with cross-functional teams is essential to innovate flagship products.

Qualifications

• 12+ years in the complete software development lifecycle and leadership roles.
• Proficiency in Python or Java and modern ML frameworks (PyTorch, CUDA).
• Experience with distributed ML systems and cloud platforms (AWS/Azure/Google).
• Mentor or lead engineering teams and drive end-to-end ML solutions.

Responsabilités

• Design and launch scalable ML/AI solutions for real-time networks.
• Lead end-to-end software lifecycle, including reviews and deployment.
• Develop production ML code and extend ML libraries/frameworks.
• Accelerate model development across large-scale production systems.
• Mentor engineers and establish technical direction and best practices.
• Maintain high standards of reliability, performance, and operational excellence.

Connaissances

Python

Java

Cloud

PyTorch

CUDA

MapReduce

Spark

Flink

Kafka

PySpark

SageMaker

Formation

MS or PhD in CS or ML

Outils

AWS

Azure

Google Cloud

Description du poste

Extreme Networks seeks an AI Senior Principal Machine Learning Engineer to lead the design and delivery of real-time ML solutions for network management. You will mentor engineers, shape technical strategy, and drive end-to-end lifecycle from design to production.

The role emphasizes generative AI, large-scale data processing, and deploying high-performance ML models across cloud environments. Collaboration with cross-functional teams is essential to innovate flagship products.