AI/ML Engineer for Automotive Design

About the job

• Develop and implement AI/ML models for generative automotive design: Leverage Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Diffusion Models, and other generative AI techniques to create novel and innovative vehicle design concepts (exterior, interior, components) based on diverse inputs (text prompts, sketches, performance parameters). • Pioneer Sketch-to-3D Model & Surface-to-3D Conversion: Research, develop, and deploy AI models that can accurately transform 2D sketches, images, and conceptual surfaces into high-fidelity 3D automotive models, streamlining the early design phase. • Advance AI-driven Content Generation for Design: Explore and implement AI models for generating design-related content, including visual assets, material renderings, and virtual environment elements, from textual descriptions or design constraints. • Integrate AI with CAD/CAE Workflows: Work closely with design and engineering teams to seamlessly integrate AI-generated outputs and insights into existing CAD (e.g., CATIA, SolidWorks) and CAE (e.g., ANSYS, Abaqus) software environments. • Optimize Design through AI-driven Simulation: Apply AI/ML for multi-objective design optimization, including aerodynamic performance, structural integrity (FEA), lightweighting, thermal management, and NVH characteristics, using techniques like Bayesian Optimization and Genetic Algorithms. • Automate Feature Engineering and Data Curation: Develop robust data pipelines and feature engineering strategies for large, complex automotive design datasets (3D geometries, material properties, performance data, simulation results). • Research & Innovation: Stay abreast of the latest advancements in AI, machine learning, computer vision, and computational design, continuously evaluating and recommending new technologies and methodologies. • Collaboration: Work cross-functionally with industrial designers, aerodynamicists, structural engineers, materials scientists, and software developers to translate design visions into tangible, AI-powered solutions. • Model Deployment & Monitoring: Contribute to the deployment of AI models into production environments and establish monitoring systems for performance, quality, and continuous improvement.

Requirements

• AI/ML Expertise
• Python
• Generative AI models
• Computer Vision
• Optimization algorithms
• MLOps principles
• CAD software

Qualifications

• 5+ years professional experience

Preferred Technologies

• AI/ML Expertise
• Python
• Generative AI models
• Computer Vision
• Optimization algorithms
• MLOps principles
• CAD software

Benefits

• Work with a world class team

About the company

Leading global automobile manufacturing company. Its diverse portfolio includes an extensive range of cars, sports utility vehicles, trucks, buses and defence vehicles.