Beschreibung

In this role, you will tackle real-world challenges by developing and automating big data pipelines for manufacturing. Your work will involve designing advanced data solutions and integrating machine learning to optimize processes and enhance CAD tools.

Anforderungen

• •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

Aufgaben

• •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

Tools & Technologien

Benefits