Sr. AI / ML Research Engineer-1

About this role

Not quite right? These jobs in Bengaluru match the same skills — apply to a few to improve your chances.

IT Operations Specialist - Communication

Airbus

In OfficeBengaluru

Apply

Executive - Corporate Communications

Halma

In OfficeBengaluru

Apply

Program Communications Associate – Energy Program

World Resources Institute India

In OfficeBengaluru

Apply

Secure on-board Communication (SOK)- Lead-2

Embitel Technologies

In OfficeBengaluru

Apply

Skills you'll use

What you'll do

• · Develop and apply AI/ML methods for CFD and multi-physics simulation problems, especially in fluid flow, heat transfer, turbulence, and system-level thermal management.
• · Build physics-informed neural networks and related scientific ML approaches for forward modeling, inverse problems, parameter estimation, data assimilation, and hybrid simulation workflows.
• · Create surrogate and reduced-order models that accelerate high-fidelity simulation while preserving engineering accuracy.
• · Apply Design of Experiments methods to simulation campaigns, data generation strategies, sensitivity analysis, and efficient exploration of high-dimensional design spaces.
• · Work with structured and unstructured simulation data from commercial and open-source solvers such as ANSYS Fluent, STAR-CCM+, OpenFOAM, Moldflow, or similar platforms.
• · Design training, validation, and benchmarking workflows for scientific ML models using both simulated and experimental datasets.
• · Partner with domain experts, software engineers, and product teams to deploy research into usable tools and scalable engineering workflows.
• · Partner with external vendors and strategic technology providers to evaluate, adapt, and transition advanced AI/ML solutions into scalable in-house capabilities and engineering workflows.
• · Contribute to technical strategy in physics AI, scientific machine learning, model validation, and engineering optimization.
• · Communicating results clearly to technical and non-technical stakeholders and support adoption across the organization.

Who can apply

• · PhD or MTech in Mechanical Engineering, Aerospace Engineering, Applied Mathematics, Computer Science, Physics, or a closely related field with strong emphasis on CFD or computational science.
• · Strong foundation in computational fluid dynamics, numerical methods for PDEs, turbulence modeling, and heat transfer.
• · Demonstrated experience applying physics-informed neural networks or related methods to engineering or scientific computing problems.
• · Strong programming skills in Python and experience with scientific ML frameworks such as PyTorch, TensorFlow, or JAX.
• · Experience building end-to-end ML workflows including data preparation, training, evaluation, hyperparameter tuning, and model deployment.
• · Experience working in Linux and HPC environments, including parallel computing and GPU-based training (desirable).
• · Strong understanding of model verification, validation, uncertainty, and physical consistency in engineering applications.
• · Excellent communication and collaboration skills with the ability to work across research and engineering teams.

Perks & benefits

About Trane Technologies

Searching for “Trane Technologies jobs” or “jobs at Trane Technologies”? You’re in the right place.