Principal ML Engineer: AI-Driven Simulation & On-Site Delivery

PhysicsX Ltd.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

PhysicsX Ltd. is seeking a Principal Machine Learning Engineer in Delivery to lead end-to-end ML deployments in collaboration with customers and on-site teams.

You will influence technical direction, design scalable data pipelines, and translate research outputs into practical software tools for industry engineering and manufacturing. With 5+ years in commercial environments, you’ll mentor engineers, drive measurable outcomes, and travel to client sites across regions to embed AI solutions in

Qualifications

• 5+ years in a commercial, non-research environment.
• Experience shipping ML systems end-to-end at scale.
• Ability to work with customers on-site to embed AI models.

Responsibilities

• Own deployment of ML models and surrogates to production.
• Communicate results and trade-offs to senior stakeholders.
• Lead scoping and architecture design for data/ML systems.
• Build robust training and inference pipelines; support cloud and on-prem.
• Mentor engineers and data scientists; provide technical direction.
• Travel to customer sites globally for on-site collaboration.

Skills

ML engineering

Leadership

Python

PyTorch

Data pipelines

Cloud & on-prem

Customer facing

Mentoring

Education

PhD

Masters

Tools

PyTorch

fastAPI

Kubeflow

Pandas

Scipy

Job description

PhysicsX Ltd. is seeking a Principal Machine Learning Engineer in Delivery to lead end-to-end ML deployments in collaboration with customers and on-site teams.

You will influence technical direction, design scalable data pipelines, and translate research outputs into practical software tools for industry engineering and manufacturing. With 5+ years in commercial environments, you’ll mentor engineers, drive measurable outcomes, and travel to client sites across regions to embed AI solutions in