BU ENGINEERING & DEVELOPMENT PROFESSIONAL - AI ENGINEER
OP Mobility
- Location
- Onsite (pune, Maharashtra)
- Employment
- Full-time
- Level
- Mid Level
Posted 2 weeks ago
About the Role
OPmobility is seeking an AI Engineer to lead and support AI projects that enhance simulation processes within the automotive industry. The role focuses on implementing deep learning methods in Computer Aided Engineering to improve efficiency and integrate models into existing engineering workflows.
Skills
Artificial Intelligence
Deep Learning
Python
CAE
Simulation
Optimization
Computer Aided Engineering
Crash Analysis
Rheology
Data Preparation
Surrogate Modelling
Predictive Modeling
Technical Documentation
API Development
Cross-cultural Adaptability
Presentation Skills
Full job details
Work instructions, procedures and information
Organizational interfaces
- Direct Manager
- Functional Manager
- Direct Reports
- Organizational interfaces
- Design Tools and Standardization Manager
- R&D Performance Manager -AI
- Artificial Intelligence Department, IT Manager/team, CAE Metier, DL Metier
Competences requirements
- Knowledge / Qualifications
- Master’s degree or engineering degree in Mechanics, Physics and/or applied mathematics
- PhD thesis with application of AI methods would be a plus
- Previous Experience (If relevant)
- 3 to 5 years of experience in (automotive) industry
- Key technical competencies
- Proven experience in CAE/simulation and optimization tools.
- Strong experience with Python programming or equivalent language
- Have the mathematical knowledge on artificial intelligence / deep learning techniques
- Proven experience with explicit code for crash analysis or rheology simulation would be a plus
- Key behavioral competencies (be customer–centric, cultivate innovation, act with audacity, drive results, collaborate, drive engagement, value differences, be resilient, develop yourself)
- Good command in English
- Excellent cross-cultural adaptability
- Self-Task management & reporting
- Presentation Skills
- Ability to synthesize and formalize
Missions
- Main Missions
- Leading and supporting AI projects within the company to enhance the simulation process.
- Implementation of deep learning methods applied to Computer Aided Engineering (CAE).
- Be in close contact with the business end-users of deep learning methods, to support, identify and update their needs.
- Contribute to the creation of best practices and methodologies.
- Active monitoring of the scientific state of the art and its implementation in industry.
- KPI and/or main deliverables
- CAE Deep Learning Models
- Contribution to simulation Process Improvement Indicators
- Implementation of state-of-the-art industrial AI best practices
Activities
- 1. Data & Simulation Preparation
- Collect, clean, and prepare CAE datasets (crash, NVH, rheology, CFD…).
- Work with CAE teams to understand simulation output structures.
- Ensure data quality, traceability, and compliance with internal standards.
- 2. Model Development
- Develop deep learning models for surrogate modelling, prediction, and optimization.
- Implement model architectures adapted to CAE constraints
- Train and validate models on internal CAE datasets.
- Benchmark model performance vs. current CAE processes.
- Ensure robustness, explainability, and reproducibility.
- 3. Integration into Engineering Processes
- Deploy AI models into engineering workflows (tools, scripts, APIs, dashboards).
- Collaborate with CAE experts to define acceptance criteria.
- Automate repetitive simulation tasks using AI and Python tooling.
- 4. Industrialization & Documentation
- Package models for production (versioning, testing, monitoring).
- Write technical documentation, guidelines, and best practices.
- Contribute to internal AI standards and libraries.
- 5. Collaboration & Support
- Work closely with CAE, IT, and the central AI/Data Office.
- Support engineers in using AI models and tools.