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Fullstack: Frontend Backend CAD AI IoT Engineer – Coding Wizard; remote​/onsite

Remote / Online - Candidates ideally in
Muncie, Delaware County, Indiana, 47303, USA
Listing for: Imnoo AG
Remote/Work from Home position
Listed on 2026-07-08
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Fullstack: Frontend Backend CAD AI IoT Engineer – Coding Wizard ( 70% - 100% ) (remote/onsite)

Do you feel like you’re just coding toy problems without making a real impact? Join us for a fulfilling career where you’ll tackle concretely defined, real-world challenges. At Imnoo, you’ll make a significant impact on automating manufacturing processes, gaining invaluable experience and deep satisfaction along the way!

We’re looking for an experienced Software Engineer / Machine Learning – Python/Cloud Services Wizard who is ready to develop and roll out new and existing services into production systems.

Why Join Us?
  • A clear path for career growth and advancement within the company.
  • The opportunity to solve real and meaningful challenges.
  • A dynamic and flexible work environment.
  • Opportunities for professional development and certification support.
  • A platform to share your ideas and opinions, where they are highly valued.
Your Playground
  • Work on real/hands-on problems
  • Develop efficient tools directly impacting the day‑to‑day life of our manufacturers
  • Develop advanced feature extraction and data‑processing solutions for managing CAD, 2D, and batch data (filtered/unfiltered) for machine learning
  • Design, engineer, and take responsibility for cloud services, APIs, automated model training/deployment, and build tools.
  • Own services end‑to‑end, from proof of concept to production‑ready solutions.
  • Gain in‑depth knowledge of interconnected cloud, data, computer vision, and ML services across multiple languages and platforms.
  • Maintain and further develop optimization/machine learning services.
  • Enhance 2D/3D/CAD tools/solutions
Our Offer
  • Learn a lot about the machining industry
  • Work on tangible, real‑world challenges that make an impact.
  • Fully flexible work style.
  • Snacks of your choice.
  • Exposure to a broad stack of machine learning and data analysis tools.
  • Opportunities to grow your hard and soft skills within a diverse team.
  • Collaboration in a dynamic startup environment with a motivated and young team.
  • 25 days of vacation annually.
  • Unlimited home office or offsite work flexibility.
  • Excellent work‑life balance with regular social team events.

(Middlemen such as recruiting agencies are not welcome and will be automatically disqualified)

Best to have
  • Strong coding skills
  • 5+ years in both dynamically typed and/or statically typed languages
  • Strong problem‑solving skills
  • CAD system development/work experience
  • 3D / geometry / game development / fluid simulations / rendering / CUDA or similar - foundations/experience
  • Experience in systems running in production under heavy load
Nice to have
  • Educational background in mathematics or statistics with strong dedication and experience in applied technologies.
  • Industry/Mechanical experience in CNC and related fields (optional)
  • Hands‑on experience in Frontend (e.g., React/Angular) and Backend development.
  • Full‑stack development experience (optional)
  • Familiarity with popular machine learning/deep learning libraries, such as scikit‑learn, PyTorch, and PyTorch Lightning.
  • Experience with industrialization tools for machine learning models, including quantization, ONNX, and Docker.
  • Knowledge of MLOps practices and pipeline development.
  • Expertise in processing, clustering, filtering, indexing, and querying large datasets efficiently.
  • Proficiency in automated model training and deployment (optional)
  • Strategic data analysis and research skills, including statistical testing, error propagation, and identifying clusters or outliers (optional)
  • Experience with cloud services, particularly AWS and Azure Cloud Services (optional)
  • Strong database skills: SQL and No

    SQL (optional)
  • Deep understanding of data structures (optional)
  • Familiarity with compiled languages like C#, C++, or similar (nice to have)
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