AI Engineer

Viavi Solutions Inc.; Singapore; Hybrid; SGD 80,000 - 100,000; Full time

Job summary

A leading telecommunications solutions provider in Singapore seeks an AI Engineer to focus on the development and deployment of AI-driven solutions in 6G technologies. The role requires experience in fast prototyping, data analysis, and collaboration with telecom experts to create scalable AI applications. Candidates should have a Master’s degree in a relevant field and a proven track record in AI. This position offers a unique opportunity to contribute to next-gen telecommunications innovations.

Qualifications

• Master’s degree (preferred) in Computer Science, Electrical Engineering, Data Science, or related fields.
• Proven track record of successfully shipping AI solutions from concept to deployment.
• Demonstrable experience developing GenAI applications and Agent-based architectures.
• Basic telecom concepts including RF network architectures or protocols.

Responsibilities

• Conduct the development and fast prototyping of AI-based 6G Digital twin solutions.
• Collaborate with telecom experts to translate business needs into AI solutions.
• Design and implement data pipelines for structured and unstructured telecom data.
• Stay current with emerging research in AI/ML, Generative AI, and Telecom AI.

Skills

Python programming

TensorFlow

PyTorch

AI solution shipping

Data processing

MLOps workflow

Data engineering

Telecom optimization

Education

Master’s degree in Computer Science or related fields

Tools

Kafka

Spark Streaming

Job description

AI Engineer Viavi Solutions Inc.•Techpt, SGP, Singapore

Description

VIAVI Solution CTO office seeks a highly motivated AI Engineer passionate about cutting-edge artificial intelligence and telecommunications technologies. This role will focus 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. The ideal candidate brings hands‑on experience in fast prototyping within native cloud environments and a working understanding of telecom and wireless systems and data analysis. As part of our innovation team, 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 that address real‑world challenges in the upcoming 6G telecommunications domain, including self‑healing networks, automation, intelligent decision‑making, customer experience enhancement, and network optimization.

Duties & Responsibilities

• Conduct the development and fast prototyping of AI‑based 6G Digital twin and AI solutions incorporating Agentic AI within telecom workflows.
• 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.
• Stay current with emerging research, open‑source contributions, and industry trends in AI/ML, Generative AI, and Telecom AI applications.
• Develop heterogeneous systems that integrate hardware instruments and monitoring systems with cloud‑based AI.

Pre-Requisites / Skills / Experience Requirements

• Master’s degree (preferred) in Computer Science, Electrical Engineering, Data Science, or related fields.
• Proven track record of successfully shipping AI solutions from concept to deployment, demonstrating the ability to own the complete lifecycle of ML development.
• Demonstrable experience developing GenAI applications, including Agent‑based architectures.
• Strong programming skills in Python.
• Hands‑on experience with TensorFlow or PyTorch.
• Hands‑on experience curating datasets, and fine‑tuning LLMs.
• Hands‑on experience with GenAI development technologies and Agentic AI frameworks (Llamaindex, CrewAI, LangChain, HuggingFace, OpenAI APIs, …).
• Hands‑on experience with the complete MLOps workflow, encompassing data processing, training infrastructure, and deployment infrastructure.
• Basic telecom concepts, including RF network architectures, protocols, or telecom‑specific data types.
• Experience with telecom network optimization, anomaly detection, or predictive analysis.
• Basics of RF planning, network slicing, Open RAN, or OSS/BSS systems.
• Knowledge of data engineering concepts and technologies (Kafka, Spark Streaming, etc.).
• Contributions to open‑source AI projects or active participation in AI communities.

Preferred Skills

• Basic telecom concepts, including RF network architectures, protocols, or telecom‑specific data types.
• Experience with telecom network optimization, anomaly detection, or predictive analysis.
• Basics of RF planning, network slicing, Open RAN, or OSS/BSS systems.
• Knowledge of data engineering concepts and technologies (Kafka, Spark Streaming, etc.).
• Contributions to open‑source AI projects or active participation in AI communities.