Senior AI Engineer

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

Job summary

A global telecommunications leader seeks a passionate Senior AI Engineer in Singapore. You will lead the development of AI-driven solutions for 6G telecommunications, focusing on rapid prototyping and innovative implementations. Ideal candidates have a Master's degree and over 3 years of ML Engineering experience, showcasing proficiency in Generative AI and related technologies. Collaborate with experts and contribute to transformative projects that enhance customer experience and optimize network performance.

Qualifications

• Master’s degree preferred in Computer Science, Electrical Engineering, Data Science.
• 3+ years of experience in ML Engineering, expertise in supervisory and unsupervised ML.
• Proven track record of shipping AI solutions from concept to deployment.
• Experience developing GenAI applications, including agent-based architectures.
• Strong programming skills in Python with hands-on experience in TensorFlow and PyTorch.

Responsibilities

• Lead development of AI-based 6G Digital twin and AI solutions in telecom workflows.
• Collaborate with experts to understand network architectures and translate needs into AI solutions.
• Design data pipelines for telecom data, both structured and unstructured.

Skills

Machine Learning Engineering

Python Programming

Generative AI Applications

TensorFlow

PyTorch

Data Processing

Education

Master’s degree in Computer Science or related field

Tools

Llamaindex

CrewAI

LangChain

HuggingFace

OpenAI APIs

Kafka

Spark Streaming

Job description

Summary

VIAVI Solution CTO office seeks a highly motivated Senior 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

Key Responsibilities:

• Lead 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.
• Mentor junior engineers and contribute to a collaborative team environment.

Pre‑Requisites / Skills / Experience Requirements

Required Qualifications:

• Master’s degree (preferred) 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.
• Demonstrable experience developing GenAI applications, including agent‑based architectures.
• Experience working cross‑organizationally to identify and integrate technology streams into a common solution.
• 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, …).
• Extensive experience with the complete MLOps workflow, encompassing data processing, training infrastructure, and deployment infrastructure.
• Ability to thrive in a fast‑paced environment as a member of a fast prototyping team.

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.