Job Title:

GES CAD CATIA Automation & AI/ML Engineer (Python)

Job Location:

Job Description:

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.

Key Responsibilities:

CATIA Automation (50%)

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 featurebased 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

AI/ML & Computer-Vision Integration (50%)

Lead R&D of ML/AI models that augment CAD automation:
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

Mentoring

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) - ZR_1860_JOB (Position Closed)