Senior Engineer _ CATIA Automation

5 days ago

Chennai, Tamil Nadu, India Satven Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Role & 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:

– 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

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

Please shared resume to

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