Reconstruction AI Engineer
Dassault Systèmes (company site, opens in a new tab)2–6 yrsPuneOn-siteDirect career pageEst. 18–35 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, deliver, and improve AI models and agents for generative experiences and virtual companions in 3D geometry and specification reconstruction.
- Build, fine tune, and evaluate AI models using appropriate data sets including synthetic data pipelines from Dassault Systèmes software.
- Ensure quality through automated testing and resolve quality, performance, and robustness issues in assigned components.
Minimum Requirements
- Master’s or PhD in Mechanical Engineering, Applied Mathematics, Mathematics & Computing, Scientific Computing, or CAD/CAM/CAE.
- 2-6 years total professional experience including 1-3 years in software development (OOP, data structures, algorithms, design patterns) and 1-5 years in AI/ML applied to CAD/CAM/CAE.
- Strong knowledge in computational/differential geometry, numerical analysis, optimization, and experience using CAD/CAM/CAE software.
- Proficiency in C++ and Python programming; experience with deep learning, generative AI, LLMs, and agentic architectures.
Ideal Candidate Profile
- Experienced in developing and deploying AI/ML solutions specifically for CAD/CAM/CAE and 3D geometry problems.
- Operates effectively in a global, multi-site R&D environment with strong analytical and problem-solving skills.
- Capable of designing experimental AI workflows including model selection, synthetic data generation, and continuous model performance improvement.