Sr. AI / ML Research Engineer-2

Trane Technologies
Bengaluru
Workplace: HybridFull timeFunction: Research & Scientific (R&D)Education: mastersSkills: ["Communication","Collaboration","Problem-solving"]

Build next-generation physics-based AI capabilities for fluid and thermal systems. Develop physics-informed neural networks and scientific ML methods to accelerate CFD and multi-physics simulation, including surrogate and reduced-order modeling. Design end-to-end workflows for training, validation, and benchmarking using simulated and experimental data, and integrate models into production-oriented engineering workflows with research, software, and product teams.

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FursaFursa
Trane Technologies
Trane Technologies
2 days ago

Sr. AI / ML Research Engineer-2

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build next-generation physics-based AI capabilities for fluid and thermal systems. Develop physics-informed neural networks and scientific ML methods to accelerate CFD and multi-physics simulation, including surrogate and reduced-order modeling. Design end-to-end workflows for training, validation, and benchmarking using simulated and experimental data, and integrate models into production-oriented engineering workflows with research, software, and product teams.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Develop and apply AI/ML methods for CFD and multi-physics simulation problems across fluid flow, heat transfer, turbulence, and thermal management.
  • •Build physics-informed neural networks for forward modeling, inverse problems, parameter estimation, data assimilation, and hybrid simulation workflows.
  • •Create surrogate and reduced-order models to accelerate high-fidelity simulation while preserving engineering accuracy.
  • •Use Design of Experiments methods for simulation campaigns, data generation, sensitivity analysis, and exploration of high-dimensional design spaces.
  • •Work with simulation data and partner with domain experts, software engineers, and product teams to deploy research into scalable engineering workflows.

Key Requirements

  • •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 (data preparation, training, evaluation, hyperparameter tuning, and model deployment) and working in Linux/HPC environments.
Experience:CFDScientific MLHPC
Education:Master's
Skills:CommunicationCollaborationProblem-solving
Tech Stack:PythonPyTorchTensorFlowJAXLinuxGPU trainingHPCANSYS FluentSTAR-CCM+OpenFOAMMoldflow

Company Brief

Trane Technologies
Designs and manufactures HVAC and climate solutions for commercial, industrial, and residential buildings. Focuses on heating, cooling, ventilation, and building efficiency systems under brands like Trane and Thermo King.
Industry: Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 10B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Dublin, Ireland
Founded: 2013
WebsiteLinkedIn