The Role
Develop machine learning and deep learning models for engineering and automotive applications. Build predictive and surrogate models that reduce simulation effort, apply physics-informed machine learning, select appropriate deep learning architectures, and create AI-driven optimization and design-of-experiments solutions. The role also involves identifying engineering problems suitable for AI/ML and predictive analytics, with preferred experience in CAE, automotive simulation, and physics-based modeling.
Summary Generated by Built In
HIRING | DATA SCIENTIST – ARTIFICIAL INTELLIGENCE (AI/ML + CAE)
Location: Bangalore
Experience: 3–6 Years
CTC: Up to ₹10 LPA
Role: Data Scientist – Artificial Intelligence
Work Mode: Work From Office
Required Skills• Python, Machine Learning & Deep Learning
• PyTorch / TensorFlow
• Scikit-learn, NumPy, Pandas
• PINNs & Physics-Informed Machine Learning
• Predictive & Surrogate Modeling
• CNN, RNN/LSTM, Transformers, GNN
• AI-driven Optimization & Design of Experiments (DoE)
• PhysicsNeMo (NVIDIA Modulus) or similar Physics-ML frameworks
• Predictive Analytics & Data-driven Modeling
• Engineering/Automotive AI/ML applications
Key Responsibilities• 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.
Good to Have• CAE/Automotive simulation experience
• LS-DYNA, ANSA, GNS Animator or similar tools
• Engineering simulation & physics-based modeling knowledge
Skills Required
- 3-6 years of professional experience
- Python
- Machine learning and deep learning
- PyTorch or TensorFlow
- Scikit-learn, NumPy, and Pandas
- PINNs and physics-informed machine learning
- Predictive and surrogate modeling
- CNN, RNN/LSTM, Transformers, and GNN
- AI-driven optimization and Design of Experiments
- PhysicsNeMo, NVIDIA Modulus, or similar Physics-ML frameworks
- Predictive analytics and data-driven modeling
- Engineering or automotive AI/ML applications
- CAE or automotive simulation experience
- LS-DYNA, ANSA, GNS Animator, or similar tools
- Engineering simulation and physics-based modeling knowledge
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The Company
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.
