GES CAD CATIA Automation & AI/ML Engineer (Python) - ZR_1860_JOB
Operations | Chennai, India
Job Title:
- 4 - 7 Years
- B.E/B.Tech or M.E/M.Tech (Automotive & Mechanical)
- Chennai
- We are looking for a seasoned engineer (4–7 years’ experience) to drive our CATIA automation efforts in Python and architect AI/ML enhancements that elevate CAD-driven design and analysis. You will be the primary hands-on developer for CATIA scripting, mentor junior Python coder, and production deployment of machine-learning and AI solutions that integrate seamlessly with our CAD workflows.
- Develop and maintain a modular Python framework (PyCATIA, pywin32) for:
- Parametric Part & Assembly creation, modification, and validation
- Batch exports (STEP/IGES, meshes, 2D drawings) and feature‐based property injection
- Custom CLI or lightweight GUI (PyQt/Tkinter) to streamline engineer-driven workflows
- Implement robust error handling, logging, and retry logic for unattended jobs
- Integrate with Teamcenter/ENOVIA REST or ITK APIs to pull/push CAD data and metadata
- Conduct peer code reviews, establish Python style guides, and write unit- and integration-tests
- Lead R&D of ML/AI models that augment CAD automation:
- Generative design (GANs, autoencoders, topology-optimization surrogates)
- Predictive performance models (regression, classification, neural nets)
- Computer-vision QA (feature detection, anomaly flagging in 2D/3D views)
- Extract CAD data (feature trees, meshes, parameters) via Python for ML pipelines
- Package inference services as Dockerized microservices with FastAPI/Flask endpoints
- Define data-collection, monitoring, and retraining strategies to ensure model performance
- Mentor a junior Python coder: lead pair-programming, workshops on COM automation, testing, and ML integration
- Define and enforce best practices across CAD scripts and ML artifacts:
- Git branching strategies, CI/CD for code and model builds (GitHub Actions, Jenkins)
- Documentation standards (Confluence, ReadTheDocs) and API references
- Collaborate with mechanical designers, simulation analysts, and PLM admins to gather requirements, validate outputs, and demonstrate ROI
- Metrics, Reporting & Continuous Improvement
- Reduction in manual CAD hours per part
- Accuracy and latency of ML predictions
- Adoption rates and user satisfaction
- Build dashboards (Grafana/Prometheus) to track pipeline health, job success/failure, and resource usage
GES CAD CATIA Automation & AI/ML Engineer (Python)
Experience:
Qualification:
Job Location:
Job Description:
Key Responsibilities:
CATIA Automation (50%)
AI/ML & Computer-Vision Integration (50%)
Mentoring
