AI/ML Algorithms Developer

Job ID: 206244

Required Travel : Up to 25%

Managerial - No

Location: Israel- RAANANA (Amdocs Site)

Who are we?

Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers’ innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers’ migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5.00 billion in fiscal 2024. For more information, visit www.amdocs.com

At Amdocs, our mission is to empower our employees to 'Live Amazing, Do Amazing' every day. We believe in creating a workplace where you not only excel professionally but also thrive personally. Through our culture of making a real impact, fostering growth, embracing flexibility, and building connections, we enable them to live meaningful lives while making a difference in the world.

In one sentence

We are looking for a highly skilled AI/ML Algorithms Developer to join our team and lead the development of innovative machine learning models tailored to the telecommunications domain.

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

What will your job look like?

• 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.
  
  

• Bachelor’s degree (required) or Master’s degree (preferred) in Computer Science, Engineering, Mathematics, 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.