Senior Automotive AI/ML Engineer — End-to-End Solutions

val's services; Raymond (OH); Hybrid; USD 140,000 - 200,000; Full time

Job summary

val's services seeks a senior AI/ML leader to drive end-to-end development for automotive R&D projects. You will design production-grade AI solutions, validate surrogate models like GCNNs, and deploy scalable cloud systems on AWS/Azure while ensuring governance and compliance.

You will mentor engineers, manage the full lifecycle from data to deployment, and collaborate across CAE, CAD, manufacturing, and data platforms to deliver impactful results.

Qualifications

• Bachelor’s or Master’s in CS/Engineering/Data Science or related field.
• 8+ years developing ML/AI systems; 3+ years in production environments.
• Hands-on experience with graph neural networks (GCNNs, GNNs, GATs, MPNNs).
• Proficiency in Python; C++ or Java a plus for automotive contexts.
• Expertise in ML frameworks like PyTorch, TensorFlow, scikit-learn.
• Strong foundation in statistics, optimization, and numerical methods.
• Experience deploying AI solutions on cloud platforms (AWS/Azure), including containerization and MLOps tools.

Responsibilities

• Lead design, development, and deployment of AI/ML solutions for automotive R&D.
• Design and deploy AI surrogate models (GCNNs) to augment physics-based CAE models.
• Architect scalable cloud-based AI systems on AWS/Azure with enterprise compliance.
• Manage AI lifecycle: data ingestion, feature engineering, training, deployment, monitoring.
• Implement MLOps and GenAIOps, including versioning, drift detection, CI/CD, traceability.
• Develop agentic AI solutions for CAE workflows and deploy AI agents for execution and monitoring.
• Support ETL activities related to CAE data structure and establish design standards for code quality.

Skills

GCNNs

GNNs

GATs

MPNNs

Python

PyTorch

TensorFlow

scikit-learn

C++

Education

Bachelor’s or Master’s in CS/Engineering/Data Science or related field

Tools

AWS

Azure

Docker

Kubernetes

Job description

val's services seeks a senior AI/ML leader to drive end-to-end development for automotive R&D projects. You will design production-grade AI solutions, validate surrogate models like GCNNs, and deploy scalable cloud systems on AWS/Azure while ensuring governance and compliance.

You will mentor engineers, manage the full lifecycle from data to deployment, and collaborate across CAE, CAD, manufacturing, and data platforms to deliver impactful results.