• Develop ML/DL models for engineering and automotive applications.
• Identify engineering problems suitable for AI/ML and predictive analytics.
• Build predictive/surrogate models to reduce simulation and computational effort.
• Develop physics-guided ML models for engineering applications.
• Apply suitable deep learning architectures based on business/engineering problems.
• Develop AI-driven optimization and DoE solutions.
Positive to Have
• CAE/Automotive simulation experience
• LS-DYNA, ANSA, GNS Animator or similar tools
• Engineering simulation & physics-based modeling knowledge
📌 DATA SCIENTIST – ARTIFICIAL INTELLIGENCE (AI/ML CAE) (Bengaluru)
🏢 Vrinda International
📍 Bengaluru
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