Advanced Network Optimization Specialist

2 weeks ago

Old Toronto, Canada Extreme Networks, Inc. Full time

Extreme Networks, Inc. is a global leader in networking solutions, seeking a skilled Advanced Network Optimization Specialist to join our Core Modelling Team.

About the Role:

We are looking for a talented individual with a strong background in machine learning and data science to develop innovative models for network optimization, prediction, and troubleshooting. The successful candidate will work on ground-breaking projects aiming to optimize network planning, design, security, operations, and support through real-time event detection, future occurrence prediction, scenario planning, and configuration optimization.

Responsibilities:
  • Design and develop machine learning models to optimize network performance, predict potential issues, and troubleshoot problems efficiently.
  • Apply expertise in Graph ML, Classic ML (regression/classification), Deep Learning, Causality, and Optimization techniques to drive business value.
  • Collaborate with the Engineering Team to integrate developed models into existing systems, ensuring seamless functionality and high-quality results.
  • Develop and execute automated tests to ensure model quality, functionality, and compatibility.
  • Communicate progress, challenges, and needs during the model development process to the Engineering Program Manager.
Requirements:
  • 5+ years of experience as a Data Scientist, Machine Learning Developer, or similar role; at least 2 years of experience building ML Systems.
  • PhD or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Strong understanding of machine learning principles, algorithms, and applications, particularly in Graph ML, Classic ML, and Deep Learning.
  • Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, and Dask.
  • Experience with distributed machine learning and proficiency in using Dask for parallel computing.
  • Excellent problem-solving skills, attention to detail, and ability to work in a team-oriented environment.
Preferred Qualifications:
  • Experience with networks and graph databases, specifically Neo4j, for network topology and service modelling.
  • Demonstrates a 'can-do' attitude, always seeking innovative solutions and pushing boundaries.
  • Maintains a startup mindset, thriving in a dynamic, fast-paced environment, and contributing positively to team energy.

The estimated annual salary for this position is around $180,000, based on industry standards and location considerations.

We offer a comprehensive benefits package, including health insurance, retirement plans, and paid time off, to support your well-being and career growth.

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