AI-Driven Innovation Specialist

5 days ago

anand, India beBeeMachineLearning Full time

Role OverviewWe are seeking a highly skilled Artificial Intelligence Scientist to accelerate innovation in green hydrogen technologies using advanced machine learning techniques.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 experts in material science, electrochemistry, and engineering to integrate AI-driven insights into design, testing, and scale-up of electrolyzer technology.Stay at the forefront of advances in AI/ML, computational chemistry, and green energy, and translate them into practical R&D applications.Required Skills and QualificationsThe ideal candidate will have:Expertise in developing and deploying machine learning models for predictive analytics.Strong understanding of electrochemistry and materials science.Experience with graph neural networks, reinforcement learning, and other advanced ML techniques.Excellent collaboration and communication skills.Ability to work in a fast-paced environment and prioritize tasks effectively.BenefitsAs a member of our team, you will enjoy:A competitive salary and benefits package.Opportunities for professional growth and development.Collaborative and dynamic work environment.Join Our TeamIf you are passionate about accelerating innovation in green hydrogen technologies, we encourage you to apply for this exciting opportunity.

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