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AI Expert in 6G Digital Twin Development

2 weeks ago

Singapore beBeeArtificialintelligence Full time $200,000 - $300,000
About the Job

VIAVI Solutions is a global provider of network test, monitoring and assurance solutions for telecommunications, cloud, enterprises, first responders, military, aerospace, and railway.

Our employees are passionate about supporting customer success and welcome people who bring their best every day to the company - to question, to collaborate and to push for solutions that will delight our customers.

We're looking for a highly skilled Senior / AI Engineer to lead the development and fast prototyping of AI-based 6G Digital twin and AI solutions incorporating Agentic AI within telecom workflows.

About the Role:

This role focuses on the rapid design, development, and deployment of 6G and AI-driven solutions, leveraging Generative AI, Large Language Models (LLMs), Agentic AI architectures, 6G Digital twins, and open-source frameworks.

You will collaborate with CTO leadership, AI solutions architects, data scientists, and RF and telecom engineers to deliver scalable AI for 6G digital twin solutions addressing real-world challenges in the upcoming 6G telecommunications domain.

Key Responsibilities:
  • Develop and maintain prototypes and MVPs using cloud platforms and on-prem infrastructure.
  • Collaborate with telecom subject matter experts to understand network architectures (6G, 5G, Open RAN, OSS/BSS systems) and translate business needs into AI solutions.
  • Design and implement data pipelines for telecom data, including structured and unstructured data.
  • Ensure best practices in model evaluation, validation, explainability, and monitoring.
Requirements:
  • Masters degree in Computer Science, Electrical Engineering, Data Science, or related fields.
  • Minimum of 3+ years of experience in ML Engineering, with deep expertise in supervised and unsupervised ML, not just GenAI applications.
  • Proven track record of successfully shipping AI solutions from concept to deployment, demonstrating the ability to own the complete lifecycle of ML development.