{"@context":"https://schema.org","@type":"JobPosting","title":"Digital Transformation & AI Scientist","description":"

Digital Transformation & AI Scientist
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\nOur site in Pune, India is seeking a Digital Transformation & AI Scientist to join our dynamic team. The mission of this role is to drive digital transformation across engineering workflows by designing, developing, and deploying advanced computational solutions that integrate modeling & simulation, scientific machine learning, and physics-based approaches.
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\nThe Digital Transformation and AI Engineer will focus on building scalable systems that combine engineering simulations, data-driven models, and domain knowledge to enable smarter design, analysis, and decision-making. As part of this transformation roadmap, the role will contribute to the development of digital twins, along with next-generation capabilities in scientific ML, multiphysics modeling, and hybrid physics–AI systems.
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\nThis role is hands-on, implementation-focused, and ideal for someone passionate about modeling & simulation, scientific machine learning, and applied physics-driven AI. The position requires working across fluid, thermal, and structural domains, bridging engineering fundamentals with modern AI techniques.

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What You’ll Do:

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Design and develop digital twin frameworks for engineering systems, integrating simulation, data ingestion, and analytics
Build and maintain pipelines that couple CFD, thermal, and structural simulations with AI/ML models
Develop physics-based surrogate models using machine learning techniques such as regression, reduced-order modeling, and neural networks
Apply scientific machine learning approaches, including physics-informed neural networks (PINNs) and hybrid modeling strategies
Integrate simulation outputs with data pipelines for calibration, validation, and continuous improvement of digital twins
Develop Python-based services and tools to orchestrate simulation workflows, preprocessing, and postprocessing
Work with domain experts to translate engineering problems into computational models and scalable digital twin architectures
Implement model validation, uncertainty quantification, and performance benchmarking for simulation and surrogate models
Create visualizations to analyze physical behavior, simulation outputs, and model predictions
Deploy digital twin solutions into production environments, ensuring scalability, reliability, and integration with enterprise systems
Document systems and contribute reusable components to internal modeling and AI frameworks

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\nWhat We Seek:\n\n

PhD degree (minimum) in Mechanical Engineering, Aerospace Engineering, Computer Science, or a related engineering discipline
3+ years in modeling & simulation, scientific computing, AI/ML, or applied research roles
Experience developing or using surrogate models or reduced-order models
Strong proficiency in Python programming
Handson experience with CFD, thermal, and/or structural simulation workflows (FEA)
Familiarity with scientific machine learning techniques and physics-based modeling approaches
Ability to independently design, build, and debug end-to-end simulation or digital twin pipelines
Practical experience with machine learning libraries, including NumPy, Pandas, SciPy, scikitlearn, TensorFlow and/or PyTorch
Ability to independently design, build, and debug endtoend AI workflows

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Success will be measured by:

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Effectiveness and accuracy of developed digital twin systems in representing real-world behavior
Performance gains achieved through surrogate modeling or hybrid simulation approaches
Quality, scalability, and maintainability of implemented simulation and AI pipelines
Demonstrated impact on engineering productivity, design optimization, or decision-making
Ability to translate complex physical problems into robust computational solutions
Strong collaboration with engineering, simulation, and research teams
Further the candidate will need to interact with people from all levels of experience within Entegris Business units and external research institutes. The candidate not only needs to demonstrate innovation and creativity but also needs to be accountable for project deliverables and commitments. To ensure success and excellence the candidate needs to consistently set high standards for oneself for best-in-class outcomes in all areas of work

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What We Offer:
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\nAt Entegris, we invest in providing opportunity to our employees and promote from within. The new hire in this role will have the potential to grow and create relationships across the organization and be recognized for demonstrated success and adherence to company PACE values.

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Our total rewards package goes above and beyond just a paycheck. Whether you’re looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals.

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Excellent health, dental and vision insurance packages to fit your needs
Flexible work schedule
Paid time off (PTO) policy that empowers you to take the time you need to recharge
Education assistance to support your learning journey
Values-driven culture with colleagues that rally around People, Accountability, Creativity and Excellence.

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At Entegris we are committed to providing equal opportunity to all employees and applicants. Our policy is to recruit, hire, train, and reward employees for their individual abilities, achievements and experience without regard to race, color, religion, sexual orientation, age, national origin, disability, marital or military status. Entegris strongly encourages all of its employees to be vaccinated against COVID-19. At Entegris, COVID-19 vaccination is preferred but not required at this time.

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