We are seeking an AI/ML Engineer with strong fundamentals in mechanical design, computational fluid dynamics, and structural analysis to join the Aerospace Advanced & Applied Technology group. In this role, you will apply machine learning, physics-informed modeling, surrogate modeling, automation, and data-driven engineering methods to accelerate design exploration, simulation workflows, and product technology development for aircraft propulsion engines, power systems, and related components. You will work closely with product architects, simulation specialists, product managers, and Chief Engineers to develop reliable AI-enabled engineering solutions that improve speed, accuracy, and decision-making across mechanical design, CFD, and FEA workflows.

Qualifications and Experience:
- Master’s degree in mechanical engineering, aerospace engineering or related discipline from a reputed university.
- Strong fundamentals in fluid mechanics, thermodynamics, heat transfer, turbomachinery, solid mechanics, finite element methods, numerical methods, and engineering statistics.




- Valuable understanding of gas turbine engine components, aerospace mechanical systems, and simulation-driven product development.
- Hands-on exposure to CFD, FEA, or mechanical design workflows, including pre-processing, solver execution, post-processing, and interpretation of simulation results.
- Ability to build and validate AI/ML models using engineering simulation data, experimental data, or operational data for design prediction, optimization, classification, anomaly detection, or reduced-order modeling.
- Experience in physics-informed machine learning, surrogate modeling, response surface modeling, reduced-order models, uncertainty quantification, or optimization for engineering applications.
- Working knowledge of Python-based AI/ML development using libraries such as NumPy, pandas, scikit-learn, TensorFlow, PyTorch, or equivalent platforms.
- Ability to automate engineering workflows for geomet

📌 Advanced AI Engr (Bengaluru)
🏢 Aerospace
📍 Bengaluru