AI Systems Engineer - Industrial ML & Digital Twin

BWX Technologies, Inc.

Oak Ridge (TN)

On-site

USD 86,000 - 161,000

Full time

9 days ago
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Benefits offered by this job

Competitive salary
Flexible schedules
Professional development
Inclusive culture
National security mission

Job summary

BWX Technologies, Inc. seeks an AI Systems & Solutions Engineer for the Oak Ridge Enrichment Operations site in Tennessee. You will support enterprise-level digital engineering, modernization, and analytics initiatives, developing open-source AI tools and maintaining production AI stacks.

The role involves ML-driven solutions, data integration, and secure capabilities for high‑value missions. You will work with engineering, manufacturing, operations, and automation teams to deliver scalable AI,

Qualifications

  • BS/MS in CS, Engineering, Data Science, or related field.

Responsibilities

  • Architect and maintain open-source AI/ML tools and pipelines.
  • Build AI stacks using Python, Docker, Kubernetes, and ML frameworks.
  • Design AI/ML solutions for manufacturing optimization and engineering workflows.
  • Integrate AI systems with digital thread/twin environments and MES/SCADA.
  • Develop APIs and microservices for model orchestration and data ingestion.
  • Implement CI/CD workflows for AI workloads.
  • Create end-to-end pipelines for sensor/IoT data including anomaly detection.
  • Collaborate with engineering and operations teams on deployable AI.
  • Produce documentation and model explainability summaries.
  • Mentor junior engineers on AI/ML development.

Skills

AI/ML pipelines
Python
Cross‑team collaboration

Education

B.S./M.S. in CS/Engineering/Data Science

Tools

Git
Docker
Kubernetes
CI/CD
MLflow
TensorFlow
PyTorch
ML tooling

Job description

BWX Technologies, Inc. seeks an AI Systems & Solutions Engineer for the Oak Ridge Enrichment Operations site in Tennessee. You will support enterprise-level digital engineering, modernization, and analytics initiatives, developing open-source AI tools and maintaining production AI stacks.

The role involves ML-driven solutions, data integration, and secure capabilities for high‑value missions. You will work with engineering, manufacturing, operations, and automation teams to deliver scalable AI,

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