Lead Computer Vision Architect – Wind Engineering

GE Vernova, Inc.; Greenville (NC); On-site; USD 113,000 - 189,000; Full time

Benefits offered by this job

Relocation assistance

Medical, dental, vision coverages

401(k) with company match

Tuition assistance

Job summary

GE Vernova, Inc. invites applications for a Senior AI Architect for Computer Vision to lead the Wind Engineering Center of Excellence.

You will oversee vision platforms, data governance, model validation, and multimodal solution design across engineering initiatives, ensuring reliable visual intelligence in complex environments. You will guide edge, cloud, and hybrid architectures for cameras, drones, and inspection tools, advancing reusable patterns and measurable performance in manufacturing

Qualifications

• Bachelor's degree in a quantitative field; advanced degree preferred.
• Hands-on experience building, validating, deploying ML/DL models in real settings.
• Strong foundation in statistics, experimental design, calibration and uncertainty.
• Experience with Python and data science stacks (pandas, NumPy, scikit-learn).
• Experience with time-series or industrial data and model validation.

Responsibilities

• Lead the Computer Vision Center of Excellence for Wind Engineering.
• Define dataset governance, labeling taxonomies, and data quality controls.
• Set model development standards, evaluation metrics, and validation procedures.
• Architect 2D/3D/Multimodal solutions with RGB/thermal/depth data.
• Design human-in-the-loop workflows and feedback to improve datasets.

Skills

Python

Machine learning

Deep learning

Computer Vision

Statistics

Model validation

Edge/Cloud architectures

Education

Bachelor's degree in Data Science or related field

Advanced degree strongly preferred

Tools

PyTorch

TensorFlow

XGBoost

OpenCV

Job description

GE Vernova, Inc. invites applications for a Senior AI Architect for Computer Vision to lead the Wind Engineering Center of Excellence.

You will oversee vision platforms, data governance, model validation, and multimodal solution design across engineering initiatives, ensuring reliable visual intelligence in complex environments. You will guide edge, cloud, and hybrid architectures for cameras, drones, and inspection tools, advancing reusable patterns and measurable performance in manufacturing