Manufacturing AI Data & Process Integration Engineer

Hadrian

New Mexico

On-site

USD 120,000 - 180,000

Full time

3 days ago
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Benefits offered by this job

Insurance coverage (medical, dental, 

401(k)
Relocation stipend
Flexible vacation policy

Job summary

Hadrian is seeking an experienced AI/ML Engineer to own and advance the analytics and modeling stack for additive manufacturing. You will design, deploy, and monitor models trained on Hadrian manufacturing data to predict build quality and detect anomalies, while building robust data pipelines and dashboards.

You will collaborate with Materials and Process and Application Engineering to validate model outputs against physical process knowledge and support qualification activities.

Qualifications

  • Bachelor's degree in a relevant field.
  • 4+ years in manufacturing data systems, process engineering, or data-driven manufacturing in a production environment.
  • Hands-on experience developing and deploying AI/ML models in engineering/manufacturing context.
  • Experience building analytical datasets from structured and time-series manufacturing data.

Responsibilities

  • Own the monitoring and analytics layer for the AM fleet, defining what is computed from raw data and what surfaces as alerts.
  • Own curated datasets, feature definitions, labeling, and dataset versioning from canonical machine data models.
  • Design, develop, and deploy AI/ML models to predict build quality, detect process anomalies, and optimize parameters.
  • Build and maintain feature engineering and model infrastructure, including data quality checks and model versioning.
  • Develop process monitoring dashboards and AI-driven alerting for real-time visibility into machine/build health.
  • Integrate model outputs back into OPUS and manufacturing workflows to drive action.
  • Collaborate with Materials and Process and Application Engineering to validate model outputs against physical knowledge.
  • Apply Statistical Process Control to AM data and establish control limits and drift detection.
  • Provide analysis support for qualification, including machine capability data for System Qualification Engineers.

Skills

Python
ML frameworks
SQL
AI/ML model deployment

Education

Bachelor's degree in Manufacturing Engineering / CS / Data Science / Materials Science or related field

Tools

scikit-learn
TensorFlow
PyTorch

Job description

Hadrian is seeking an experienced AI/ML Engineer to own and advance the analytics and modeling stack for additive manufacturing. You will design, deploy, and monitor models trained on Hadrian manufacturing data to predict build quality and detect anomalies, while building robust data pipelines and dashboards.

You will collaborate with Materials and Process and Application Engineering to validate model outputs against physical process knowledge and support qualification activities.

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