AI Engineering Leader

2 weeks ago

junagadh, India beBeeMachine Full time

About the RoleWe're looking for an exceptional Machine Learning Principal Scientist to join our team.Develop and deploy physics-informed machine learning models that integrate electrochemical principles with AI/ML for accurate prediction of stack behavior.Build degradation models to predict lifetime performance, failure modes, and durability of electrolyzer stacks and components.Apply advanced ML techniques (graph neural networks, reinforcement learning, VAEs, GANs, diffusion models) for material discovery and process optimization.Approximate complex physical, chemical, and electrochemical processes through hybrid ML–physics frameworks.Collaborate with material scientists, electrochemists, and engineers to integrate AI-driven insights into design, testing, and scale-up of electrolyzer technology.Key ResponsibilitiesModel Development: Develop and deploy physics-informed machine learning models that integrate electrochemical principles with AI/ML for accurate prediction of stack behavior.Degradation Modeling: Build degradation models to predict lifetime performance, failure modes, and durability of electrolyzer stacks and components.Advanced ML Techniques: Apply advanced ML techniques (graph neural networks, reinforcement learning, VAEs, GANs, diffusion models) for material discovery and process optimization.Process Approximation: Approximate complex physical, chemical, and electrochemical processes through hybrid ML–physics frameworks.Collaboration: Collaborate with material scientists, electrochemists, and engineers to integrate AI-driven insights into design, testing, and scale-up of electrolyzer technology.About YouPh.D. in Computer Science or related field5+ years experience in Machine Learning research and developmentFamiliarity with deep learning frameworks such as TensorFlow or PyTorchStrong programming skills in PythonExcellent communication and teamwork skills

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