AI/ML Engineer – CAE

Posted 27 Days Ago
Be an Early Applicant
Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
1M-1M Annually
Mid level
Edtech • HR Tech • Information Technology • Professional Services
The Role
Develop and implement machine learning and deep learning models for engineering and automotive applications. Build predictive, surrogate, physics-informed, and physics-guided models; apply AI-driven optimization and design of experiments; and use advanced architectures such as CNNs, LSTMs, Transformers, and GNNs. Experience with CAE, automotive simulation, or platforms such as LS-DYNA and ANSA is preferred.
Summary Generated by Built In
 Hiring | AI/ML Engineer – CAE | Mercedes-Benz 


 Location: Bangalore
 Experience: 3–6 Years
 Budget: Up to ₹10 LPA

We are looking for AI/ML professionals to develop and implement advanced Machine Learning and Deep Learning models for engineering and automotive applications.

 Mandatory Skills


• Strong hands-on experience in AI/ML and Data Science
• Machine Learning & Deep Learning
• Python
• PyTorch / TensorFlow
• Scikit-learn, NumPy & Pandas
• Predictive & Surrogate Models
• Physics-Informed Machine Learning (PINNs)
• Physics-guided ML models
• Deep Learning architectures – CNNs, RNNs/LSTMs, Transformers, GNNs
• AI-driven Optimization & Design of Experiments (DoE)
• PhysicsNeMo (formerly NVIDIA Modulus) or similar Physics-ML frameworks
 Preferred / Added Advantage


• Experience in CAE / Automotive Simulation
• Exposure to LS-DYNA, ANSA, GNS Animator or similar platforms
• Experience applying AI/ML to engineering and simulation problemss.
 Interview Process
1st Round: HackerRank Test – Virtual
2nd Round: Face-to-Face Interview – Bangalore


Skills Required

  • 3-6 years of professional experience
  • Strong hands-on experience in AI/ML and data science
  • Machine learning and deep learning
  • Python
  • PyTorch or TensorFlow
  • Scikit-learn, NumPy, and Pandas
  • Predictive and surrogate modeling
  • Physics-informed machine learning and PINNs
  • Physics-guided machine learning models
  • Deep learning architectures including CNNs, RNNs/LSTMs, Transformers, and GNNs
  • AI-driven optimization and design of experiments
  • PhysicsNeMo, formerly NVIDIA Modulus, or a similar physics-ML framework
  • Experience in CAE or automotive simulation
  • Exposure to LS-DYNA, ANSA, GNS Animator, or similar platforms
  • Experience applying AI/ML to engineering and simulation problems
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The Company
10 Employees
Year Founded: 2018

What We Do

Vrinda International is a Chandigarh-based recruitment and education consultancy connecting job seekers and employers through domestic and international IT and non-IT hiring. It also supports students with overseas university admissions, visa applications, education guidance, and test preparation for IELTS, PTE, and other programs. Its tech-enabled talent portal provides job matching and career pathways across India and global markets, alongside staffing partnerships.

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