Hiring Catia Automation & Ai/ml Engineer With Python
- Detroit Engineered
- 4 - 9 years
- Chennai
- 4 months ago
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Job Description
Experience: 4 To 7 Year(s)
Skill set:
CATIA Automation (Python) Machine Learning (TensorFlow/PyTorch) Generative Design & Surrogate Modeling Computer Vision (OpenCV/Detectron2) RESTful Microservices & Containerization
Domain knowledge
- Parametric 3D Modeling in CATIA: feature trees, sketch-based design, part & assembly structures
- CATIA Python/COM API Workflows: feature suppression, parameter injection, batch exports
- Generative Design & Topology Optimization: surrogate modeling, density-based and compliance-based methods
- Predictive Performance Modeling: regression and neural-network surrogates for stiffness, fatigue life, manufacturability
- Computer-Vision QA for CAD: GD&T validation, tolerance checks, feature-detection in 2D/3D views
- ROI-Driven Automation Metrics: quantifying FTE savings, accuracy improvements, cycle-time reduction
Job Description
We are looking for a seasoned engineer (47 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:
- 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
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Automation DeveloperEmployement Type: Full timeContact Details:
Company: Detroit EngineeredLocation(s): Chennai
Keyskills: AIML catia automation Machine Learning Python
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Detroit Engineered
\n\nJP Creators, real estate company involved in construction, residential and commercial buildings. having its office at Marathahalli Bangalore. Completed more than 20 projects across the Bangalore.
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