Sr. AI, ML Research Engineer-1
SourceoBengaluruRemoteDirect career pageEst. 25–45 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and apply AI/ML techniques specifically for CFD and multi-physics simulation challenges involving fluid dynamics, heat transfer, and turbulence.
- Build and deploy physics-informed neural networks, surrogate and reduced-order models to accelerate simulation workflows while maintaining engineering accuracy.
- Collaborate across research, product, and external teams to translate scientific ML innovations into scalable, production-ready tools for thermal and fluid system design optimization.
Minimum Requirements
- PhD or MTech in Mechanical Engineering, Aerospace Engineering, Applied Mathematics, Computer Science, Physics, or related with strong CFD or computational science focus.
- Proven experience with physics-informed neural networks or equivalent scientific ML methods applied to engineering or scientific computing problems.
- Strong programming skills in Python and working knowledge of scientific ML frameworks like PyTorch, TensorFlow, or JAX.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Expertise in computational fluid dynamics, numerical PDE methods, turbulence modeling, and heat transfer with a record of applying AI to these domains.
- Experience with deploying complete ML workflows involving data preparation, training, validation, and model deployment preferably on HPC/GPU environments.
- Ability to work cross-functionally with research and engineering teams and translate complex scientific concepts into usable engineering tools.