F

Frontier Communications

Distinguished Engineer - Applied Research

Applied Machine LearningPosted on Nov 10
Full-timeBasking Ridge, Bernards, NJ, USA$157.5k - $275k /yr

About the Job

Requirements

  • A bachelor's degree or four or more years of work experience is required.
  • Eight or more years of relevant experience is required, demonstrated through work and/or military experience or specialized training.
  • Strong programming proficiency in Python, C++, or Java is required.
  • Hands-on experience designing and training machine learning models using frameworks such as PyTorch, TensorFlow, or Scikit-learn is required.
  • Experience taking machine learning models from conception to production deployment in scalable cloud environments such as AWS, GCP, or Azure is required.
  • Understanding of data architecture, SQL/NoSQL databases, and data processing frameworks such as Apache Spark or Hadoop is required.

Responsibilities

  • Develop and deploy predictive models for network traffic forecasting, anomaly detection, and fault isolation.
  • Create AI-driven solutions to enable self-healing networks and autonomous network operations.
  • Collaborate cross-functionally with network architects, data engineers, and software developers to integrate machine learning models into core network systems.
  • Evaluate and implement emerging AI technologies, including generative AI and large language models, to streamline network operations, automate configurations, and assist in complex troubleshooting.
  • Ensure the scalability, security, and performance of AI algorithms deployed at the network edge and in the cloud.

Desired Qualifications

  • A master's or PhD in Computer Science, Artificial Intelligence, Electrical Engineering, or a related quantitative field.
  • Domain knowledge in telecommunications, including understanding 4G/5G architecture, RAN, core networks, or SDN/NFV.
  • Experience with MLOps practices, containerization using Docker or Kubernetes, and model lifecycle management tools such as MLflow or Kubeflow.
  • Expertise in specialized AI branches relevant to networking, such as reinforcement learning, graph neural networks, or time-series forecasting.
  • Ability to translate complex technical concepts into actionable business insights for non-technical stakeholders.

About the Company

Company size
Not listed
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
Not listed

Recently Posted Jobs

Explore more opportunities at Frontier Communications

See more jobs