AI Machine Learning Engineer

We are seeking a highly skilled AI/ML Solutions Lead to drive innovative automotive R&D initiatives.

Responsibilities Include

• Leading the design, development, and deployment of production-grade AI solutions for vehicle development, simulation, manufacturing quality, and digital twins.

• Developing and validating AI/ML models with measurable impacts, including surrogate models using Graph Convolutional Neural Networks (GCNNs).

• Architecting scalable cloud-based AI systems on AWS/Azure, managing the full AI lifecycle—data ingestion, training, evaluation, deployment, and monitoring.

• Implementing MLOps best practices such as versioning, drift detection, CI/CD, and traceability.

• Supporting ETL activities and establishing design standards for reuse and auditability.

• Mentoring engineers and collaborating with cross-functional teams including CAE, CAD, and manufacturing.

Qualifications & Skills

• Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field.

• 8+ years of experience developing and deploying ML/AI systems, with 3+ in production environments.

• Expertise in graph neural networks, Python, ML frameworks (PyTorch, TensorFlow), and cloud deployment.

• Strong foundation in statistics, optimization, and numerical methods; experience with MLOps tools (Docker, MLflow).

• Preferred experience with CAE, physics-informed ML, and automotive design engineering.

Key qualities:

Innovation, strong work ethic, leadership, and collaboration skills. The role involves working primarily at an office desk with occasional travel and cross-functional support.