Sr. AI / ML Research Engineer-2
Trane Technologies (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 25–45 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and apply AI/ML methods specifically targeting CFD and multi-physics simulations in fluid flow, heat transfer, and thermal management.
- Build and deploy physics-informed neural networks, surrogate, and reduced-order models to accelerate simulation workflows while maintaining engineering fidelity.
- Collaborate with research, product teams, and external partners to translate advanced physics-based AI methods into scalable, production-ready engineering tools.
Minimum Requirements
- PhD or MTech in Mechanical Engineering, Aerospace Engineering, Applied Mathematics, Computer Science, Physics, or related field with strong CFD/computational science emphasis.
- Demonstrated experience applying physics-informed neural networks or similar scientific ML methods to engineering or scientific computing problems.
- Strong programming skills in Python and experience with ML frameworks like PyTorch, TensorFlow, or JAX.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Expertise combining computational fluid dynamics, turbulence modeling, numerical PDE methods, and scientific ML targeting engineering simulation acceleration.
- Experience working with Linux/HPC environments including parallel/GPU computing for ML workloads.
- History of engaging in multi-disciplinary collaboration bridging research, engineering, and product teams to deploy physics-based AI solutions in commercial or research settings.