Machine Learning Systems Engineer

Job Description:

Airhop Communications is a world recognized leader in wireless network automation and optimization technology, platforms, and solutions.  Airhop is seeking a Machine Learning (ML) Systems Engineer who will develop algorithms using advanced ML techniques to optimize network solutions.

This is a full-time position.

Job Responsibilities:

  • Analyze large datasets, e.g., Key Performance Indicators (KPIs) of a wireless cellular network over a specified time period across a large number of base stations.
  • Develop ML algorithms to optimize different aspects of wireless cellular network performance.
  • Develop simulations, test scenarios, and experiments to validate ML solutions in collaboration with the system engineering team.
  • Collaborate with other engineering teams to implement and deploy ML algorithms in live networks.
  • Validate and monitor ML solution performance in field tests and live network
  • Stay current with relevant developments in the ML field.

Qualifications:

  • Master’s in engineering, computer science, or equivalent. PhD preferred.
  • At least 2 years of experience developing ML solutions, preferably in reinforcement learning and/or time series analysis.
  • Deep understanding of machine learning tools and algorithms
  • Experience in 4G and 5G cellular Radio Access Networks (RAN) is a plus.

Interested  parties please send all resumes to jobs@airhopcomm.com

About the company:

Please see www.airhopcomm.com