Senior Machine Learning Engineer, Applied Intelligence

Type: Direct hire, full-time · Base: $220,000–$292,000 + equity · Clearance: U.S. Person required (export control); Secret clearance preferred

VDS is recruiting a senior ML engineer to bring AI onto the factory floor of a maritime defense production division. You will build the platform that turns inspection, root-cause and document problems into working AI tools.

What you'll do

  • Design and run the end-to-end ML platform, from training to deployment.

  • Build model serving for cloud, edge devices and the shop floor.

  • Turn factory problems into AI workflows with human review built in.

  • Integrate with PLM, MES and ERP systems.

  • Set model governance and drift monitoring, and share on-call duty.

What you bring

  • 8+ years building production software.

  • A degree in computer science, engineering or a related field, or equivalent experience.

  • MLOps, Python, PyTorch or TensorFlow, Docker and Kubernetes, time-series data, monitoring.

Nice to have

  • Manufacturing or OT systems, computer vision or OCR.

  • Airflow or Flyte, CUDA or TensorRT, retrieval-augmented generation.

Summary

Build and run an end-to-end ML platform turning factory inspection, root-cause and document problems into AI tools with human review. Requires 8+ years building production software, a degree in CS or engineering or equivalent, and MLOps, Python, PyTorch or TensorFlow, Docker, Kubernetes, time-series data and monitoring experience.

Responsibilities

Design and run end-to-end ML platform from training to deployment; build model serving for cloud, edge devices and shop floor; turn factory problems into AI workflows with human review; integrate with PLM, MES and ERP systems; set model governance and drift monitoring; share on-call duty

Qualifications

8+ years building production software; degree in CS, engineering or related field, or equivalent experience; MLOps, Python, PyTorch or TensorFlow, Docker and Kubernetes, time-series data, monitoring

Education requirements

A degree in computer science, engineering or a related field, or equivalent experience

Experience requirements

8+ years building production software