CAD AI Software Engineer

About

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.

Why Join Us? | Career in Big Data Engineering & ML

• A clear path for career growthinmachine learning engineeringanddata engineering roles.
• The opportunity to solve real and meaningful challenges indata-intensive manufacturing automation,computer vision, andAI-driven pipelines.
• A dynamic and flexible work environment supportingremote software development.
• Opportunities forprofessional development,certification supportin AWS, Azure, andMLOps.
• A platform to share your ideas and opinions, where they are highly valued in ourstartup tech team.

Your Playground | Hands‑On Big Data & ML Projects

• Work on real/hands‑on problems involvingbig data processing andautomation toolsforindustrial AI.
• Develop efficientdata pipelinesand tools that directly impact the day‑to‑day operations of our manufacturers
• Design and implement advanceddata extraction,feature engineering, processing, andpipeline orchestrationsolutions for handling CAD, 2D, 3D, and large‑scale batch data (filtered/unfiltered) with a focus onML applicationslikedeep learning modelsandpredictive analytics.
• Engineer scalablebig data infrastructure,cloud‑native services,RESTful APIs, automatedML model training and deployment, andCI/CD build toolsusingDockerandKubernetes.
• Own services end‑to‑end, from proof of concept to production‑ready solutions in high‑load environments withscalability testingandperformance tuning.
• Gain in‑depth knowledge of interconnectedcloud computing,big data ecosystems(Hadoop, Spark),computer vision pipelines,andML frameworksacrossPython,C#,C++, and multiple platforms likeLinux/Unix systems.
• Maintain and enhanceoptimization algorithms,machine learning services,andneural network integrationswithin data pipelines.
• Improve 2D/3D/CAD tools and solutions through automated,data‑driven workflows, includinggeometric modeling,simulation tools, andGPU accelerationwith CUDA.

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Big Data Engineer,Data Pipeline Developer,Machine Learning Engineer,Python Developer,C# Developer,C++ Software Engineer,Cloud Services Engineer,AWS Developer,Azure Developer,Automation Engineer