AI Model Developer for Telecommunications Networks

We are seeking a skilled Telecommunications Network Analyst to design and implement advanced machine learning models tailored to the telecommunications domain.

This role focuses on developing algorithms that leverage network topology, event clustering, hypergraphs, and temporal graph structures to solve complex challenges in network intelligence.

• Key Responsibilities:
• Design and implement AI/ML models for telecom fault analytics, focusing on root cause detection, impact propagation, and fault prioritization.
• Collaborate closely with data scientists and fellow AI/ML engineers to translate large-scale network data into actionable insights and scalable solutions.
• Apply cutting-edge techniques such as Graph Neural Networks (GNNs), Recurrent Neural Networks (RNNs), and Convolutional Neural Networks (CNNs) to model and analyze network behavior.
• Work with graph databases and AWS SageMaker to build, train, and deploy models in a cloud-native environment.

Required Qualifications:

• Bachelor's degree (required) or master's degree in Computer Science, Engineering, or a related field.
• Proven experience with GNNs, RNNs, and CNNs in real-world applications.
• Hands-on experience with graph databases and graph-based modeling.
• Proficiency in AWS SageMaker and the broader AWS ecosystem.
• Must have either:
  - Experience with GNN algorithms applied to network topology, or
  - Prior experience working with telecommunications networks.

Benefits:

• You will ensure timely resolution of critical issues within agreed service level agreements.
• You will be able to demonstrate an understanding of key business drivers and ensure strategic directions are followed.
• We offer a wide range of benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave.
• Amdocs is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to fostering a diverse and inclusive workforce.