CAD AI Software Engineer - Big Data Pipelines & ML Automation | Python, C#, C++ Expert | Machine Learning Engineer in Manufacturing

Do you feel like you’re just coding toy problems without making a real impact? Join us for a fulfilling career as a Software Engineer specializing in Big Data Pipelines and ML Automation, where you’ll tackle concretely defined, real-world challenges. At Imnoo, you’ll make a significant impact on automating manufacturing processes through robust big data engineering, scalable data pipelines, and machine learning integrations, gaining invaluable experience in Python development, C# programming, C++ expertise, and deep satisfaction along the way!

We’re looking for an experienced Software Engineer - Big Data / Pipelines with an ML Flavour who is passionate about automation, AI/ML engineering, and ready to 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.

• Work on real/hands-on problems involving big data processing and automation tools for industrial AI.

• Develop efficient data pipelines and tools that directly impact the day-to-day operations of our manufacturers

• Design and implement advanced data extraction, feature engineering, processing, and pipeline orchestration solutions for handling CAD, 2D, 3D, and large-scale batch data (filtered/unfiltered) with a focus on ML applications like deep learning models and predictive analytics.

• 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.

• Gain in-depth knowledge of interconnected cloud computing, big data ecosystems (Hadoop, Spark), computer vision pipelines, and ML frameworks across Python, C#, C++, and multiple platforms like Linux/Unix systems.

• Maintain and enhance optimization algorithms, machine learning services, and neural network integrations within data pipelines.

• Improve 2D/3D/CAD tools and solutions through automated, data-driven workflows, including geometric modeling, simulation tools, and GPU acceleration with CUDA.
  
  
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(Middlemen such as recruiting agencies are not welcome and will be automatically disqualified)