Modeling & Simulation Machine Learning Engineer

Apply modeling and simulation (M&S) and machine learning (ML) to develop and optimize high-speed manufacturing processes, digital twins, virtual qualification, real-time manufacturing and warehouse optimization. Develop surrogate models of complex engineering processes by combining finite element analysis, computational fluid dynamics, production-system modeling, ML and physical data. Work with R&D scientists, manufacturing engineers and data infrastructure teams; evaluate build-versus-buy options and provide technical due diligence. Requirements: Master’s or PhD in an engineering discipline, or advanced CS/statistics/applied mathematics qualification with demonstrated AI/ML engineering applications; strong engineering fundamentals; coding in Python or R (C++ also relevant); large-scale data analysis; applied ML/deep learning; surrogate modelling; optimization; data mining; scientific computing; and familiarity with TensorFlow/Keras, Linux, databases and high-performance CPU/GPU computing. Full-time role based at P&G Hyderabad office. Job number R000161635.