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

November 10

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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

• Join us for a fulfilling career as a Software Engineer specializing in Big Data Pipelines and ML Automation. • Tackle concretely defined, real-world challenges in automating manufacturing processes through robust big data engineering , scalable data pipelines , and machine learning integrations. • Gain invaluable experience in Python development , C# programming , C++ expertise , and deep satisfaction along the way. • Build scalable ETL pipelines, process massive datasets, and infuse machine learning models into production systems using strong Python coding skills , C# development , and C++ performance optimization. • Engineer scalable big data infrastructure , cloud-native services , RESTful APIs , automated ML model training and deployment , and CI/CD build tools using Docker and Kubernetes. • Own services end-to-end, from proof of concept to production-ready solutions in high-load environments with scalability testing and performance tuning. • Improve 2D/3D/CAD tools and solutions through automated, data-driven workflows , including geometric modeling , simulation tools , and GPU acceleration with CUDA.

🎯 Requirements

• Strong software / coding skills in Python development , C# .NET programming , and C++ expertise with a passion for machine learning , deep learning , and process automation . • 5+ years of experience in dynamically typed (e.g., Python scripting ) and statically typed languages (e.g., C# backend , C++ systems programming ). • 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. • Educational background in mathematics, statistics, or computer science with strong dedication and experience in applied technologies like applied ML and data science. • CAD data processing experience, including STEP/IGES formats . • Industry/Mechanical experience in CNC machining , robotics automation , and related fields . • Hands-on experience in Frontend development (e.g., Angular, React) and Backend engineering (Node.js, .NET) . • Full-stack development experience with microservices architecture. • Familiarity with popular machine learning libraries and deep learning frameworks , such as scikit-learn, PyTorch , TensorFlow , and PyTorch Lightning . • Experience with ML model industrialization tools, including model quantization , ONNX export , Docker containerization , and serverless deployment . • Knowledge of MLOps practices , ML pipeline development , and tools like MLflow or Kubeflow . • Expertise in big data processing , data clustering , anomaly detection , filtering, indexing, and querying large datasets efficiently using Elasticsearch or BigQuery . • Proficiency in automated model training pipelines and A/B testing deployment . • Strategic data analysis and research skills, including statistical modeling , error propagation analysis , and identifying clusters or outliers in high-dimensional data . • Experience with cloud platforms , particularly AWS services (S3, Lambda, SageMaker) and Azure Cloud Services (Data Factory, ML Studio) . • Strong database skills : SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) for data warehousing . • Deep understanding of advanced data structures and algorithms for efficient querying .

🏖️ Benefits

• Snacks of your choice. • Opportunities to grow your hard and soft skills within a diverse agile team. • Unlimited home office or offsite work flexibility.