CAD AI Software Engineer – Big Data Pipelines, ML Automation, Python, C#, C++

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14 hours ago

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Imnoo

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Imnoo vereinfacht die Art und Weise wie Lohnfertiger der MEM-Branche Anfragen von Einkäufern abwickeln. Dank unserer smarten Softwarelösung gestalten wir den Offertenprozess effizienter und digitalisieren die einzelnen Arbeitsschritte von der Anfrage bis zum fertigen Angebot.

11 - 50 employees

📋 Description

• Work on tangible, real-world challenges. • Join us for a fulfilling career as a Software Engineer specializing in Big Data Pipelines and ML Automation. • You’ll tackle concretely defined, real-world challenges. • Make a significant impact on automating manufacturing processes through robust big data engineering, scalable data pipelines , and machine learning integrations. • Take ownership of services end-to-end, from proof of concept to production-ready solutions in high-load environments with scalability testing and performance tuning. • Design and implement advanced data extraction, feature engineering, processing, and pipeline orchestration solutions

🎯 Requirements

• 5+ years of experience in dynamically typed (e.g., Python scripting) and statically typed languages (e.g., C# backend, C++ systems programming). • Strong software / coding skills in Python development , C# .NET programming , and C++ expertise with a passion for machine learning , deep learning , and process automation. • CAD system development/work experience. • Strong problem-solving skills for building efficient, scalable data pipelines and ML workflows under production constraints. • Foundations or experience in 3D/geometry processing, game development engines (Unity/Unreal), fluid simulations, real-time rendering , CUDA GPU programming , or similar technologies to handle complex big data analytics and spatial data. • Nice to Have: Educational background in mathematics, statistics, or computer science with strong dedication and experience in applied technologies like applied ML and data science (nice to have).

🏖️ Benefits

• Unlimited home office or offsite work flexibility. • Opportunities for professional development , certification support in AWS, Azure, and MLOps. • Snacks of your choice.