CAD AI Software Engineer - Big Data Pipelines & ML Automation | Python, C#, C++ Expert | Machine Learning Engineer in Manufacturing(m/w/x)

Requirements

• Strong software and coding skills in Python, C# .NET, and C++
• 5+ years of experience in dynamically typed and statically typed languages
• CAD system development experience
• Strong problem-solving skills for efficient data pipelines and ML workflows
• Foundations or experience in 3D/geometry processing, game development engines, fluid simulations, real-time rendering, or CUDA GPU programming
• Educational background in mathematics, statistics, or computer science
• CAD data processing experience, including STEP/IGES formats
• Industry experience in CNC machining, robotics automation, and related fields
• Hands-on experience in Frontend development and Backend engineering
• Full-stack development experience with microservices architecture
• Familiarity with machine learning libraries and deep learning frameworks
• Experience with ML model industrialization tools
• Knowledge of MLOps practices and ML pipeline development
• Expertise in big data processing and querying large datasets
• Proficiency in automated model training pipelines and A/B testing deployment
• Strategic data analysis and research skills
• Experience with cloud platforms, particularly AWS and Azure
• Strong database skills in SQL and NoSQL for data warehousing
• Deep understanding of advanced data structures and algorithms

Tasks

• Automate manufacturing processes
• Engineer big data pipelines
• Integrate machine learning applications
• Develop tools for data processing
• Design advanced data extraction solutions
• Implement feature engineering techniques
• Orchestrate data pipelines for CAD and 3D data
• Create scalable big data infrastructure
• Build cloud-native services and RESTful APIs
• Automate ML model training and deployment
• Utilize CI/CD build tools with Docker and Kubernetes
• Manage services from proof of concept to production
• Conduct scalability testing and performance tuning
• Gain knowledge of cloud computing and big data ecosystems
• Maintain optimization algorithms and ML services
• Enhance CAD tools through automated workflows
• Utilize GPU acceleration with CUDA

Work Experience

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