GES CAD CATIA Automation

2 days ago

India SATYAM VENTURE ENGINEERING SERVICES Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Job Title:

  • GES CAD CATIA Automation & AI/ML Engineer (Python)
  • Experience:
    • 4 - 7 Years
  • Qualification:
    • B.E/B.Tech or M.E/M.Tech (Automotive & Mechanical)
  • Job Location:
    • Chennai
  • 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 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
  • 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

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