Senior AI/ML R&D Architect—Full‑Stack Systems

Keysight Technologies; Singapore; On-site; SGD 180,000 - 320,000; Full time

Job summary

Keysight Technologies invites an Expert R&D Software Engineer to lead the design and development of AI‑powered applications across frontend, backend, and AI/ML layers. You will architect scalable, production‑grade systems and drive end‑to‑end implementation with a focus on performance and reliability.

Ideal candidates have 8–12+ years of full‑stack experience, strong frontend/backend skills, and a track record of delivering large‑scale AI integrations, data pipelines, and cloud‑native

Qualifications

• 8–12+ years of software engineering experience.
• Proven track record delivering large‑scale, production systems.
• Strong ownership of frontend and backend technologies.
• Experience integrating AI/ML at scale in real apps.
• Design of robust data pipelines and ML features.

Responsibilities

• Lead design and development of end‑to‑end AI‑powered applications.
• Define system architecture and drive scalable production systems.
• Lead AI/ML integration and data pipelines for large datasets.
• Mentor engineers and set engineering standards.
• Collaborate with product and leadership to map technical roadmaps.
• Promote CI/CD, observability, and cloud‑native practices.

Skills

Full-stack architecture

React/Vue

Python/Java/Node.js

AI/ML systems

Distributed systems

Cloud AWS

CI/CD

Kubernetes Docker

Data pipelines

English fluency

Education

Masters or PhD in CS/SE

Tools

Docker

Kubernetes

AWS

LLMs

Job description

Keysight Technologies invites an Expert R&D Software Engineer to lead the design and development of AI‑powered applications across frontend, backend, and AI/ML layers. You will architect scalable, production‑grade systems and drive end‑to‑end implementation with a focus on performance and reliability.

Ideal candidates have 8–12+ years of full‑stack experience, strong frontend/backend skills, and a track record of delivering large‑scale AI integrations, data pipelines, and cloud‑native