AI/Machine Learning Engineer
LS Solutions · Raymond, OH · 1 mo ago
EngineeringFull-time
About the role
Seeking an experienced AI/ML Engineer to lead the design, development, and deployment of advanced AI solutions supporting automotive R&D initiatives.
Responsibilities
- Own end-to-end AI solutions for vehicle development, simulation, manufacturing quality, and digital twins
- Mentor engineers
- Collaborate with CAE, CAD, manufacturing, and data teams
- Lead the creation and validation of impactful AI/ML solutions for automotive engineering and manufacturing use cases
- Design and implement AI surrogate models, such as Graph Convolutional Neural Networks (GCNNs), to augment or replace physics-based CAE
- Architect and deploy scalable cloud-based AI systems on AWS/Azure, ensuring compliance with enterprise standards
- Manage full AI lifecycle: data ingestion, feature engineering, training, evaluation, deployment, and monitoring
- Implement MLOps best practices including versioning, drift detection, CI/CD, and traceability
- Develop agentic AI solutions and deploy AI agents to optimize workflows in the cloud
- Support data activities and establish design standards, code quality, and documentation for reuse and auditability
- Mentor and guide junior engineers, fostering a collaborative team environment
Qualifications & Skills
- Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related fields
- 8+ years in ML/AI development and deployment, with 3+ years in production
- Hands‑on experience with graph neural networks (GCNNs, GNNs)
- Advanced Python proficiency; C++/Java a plus
- Expertise in ML frameworks (PyTorch, TensorFlow)
- Cloud deployment experience on AWS/Azure
- Proficiency with MLOps tools (Docker, MLflow)
- Strong foundation in statistics, optimization, and numerical methods
- Familiarity with CAE/physics‑informed ML is preferred
- Knowledge of model governance, responsible AI, and automotive design engineering is advantageous