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Principal Machine Learning Engineer

PhysicsX· Delivery
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Hybrid (Singapore)full-timePosted 9mo ago

About the role

Senior ML engineering leader responsible for end-to-end deployment of ML models and engineering surrogates, guiding technical direction, mentoring teams, and delivering measurable outcomes for customer production environments.

Responsibilities

  • Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization & control) to customer production environments.
  • Communicate results and trade-offs to senior stakeholders; steer roadmaps and influence product direction with evidence.
  • Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars.
  • Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments.
  • Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision-making under pressure.
  • Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, collaborating closely with customers to build solutions on-site.
  • Own the scoping of new projects and work-streams with existing customers and participate in bringing new customers to PhysicsX.

Qualifications

  • At least 5 years industry experience (post Masters or PhD) in a commercial, non-research environment.
  • Experience shipping ML systems end-to-end and at scale; ability to design, build and test ML data pipelines; experience with 3D point-cloud and mesh data for geometry-aware modelling.

Skills

Required:Deployment and MLOps for ML models and surrogatesCommunication with senior stakeholdersSystem design for data/ML pipelinesCloud and on-prem ML systemsMentoring and technical leadership

Benefits

  • Not specified in the description.
Last updated Sep 23, 2026. Interested? Apply on the company site.

About PhysicsX

Accelerating Industrial Innovation with AI

PhysicsX is deploying AI to transform how physical systems are engineered, embedding intelligence across the entire product lifecycle, from concepting and design to manufacturing and operations.

AIIndustrial InnovationDesignManufacturingOperationsAI ToolsProduct Lifecycle
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