Digital Transformation & AI Scientist

Our site in Pune, India is seeking a Digital Transformation & AI Scientist to join our energetic 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.

The 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.

This 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 up-to-date AI techniques.

What You’ll Do:
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 tw

📌 Digital Transformation Pune
🏢 GoAsia Talent
📍 Pune