Fullstack: Frontend Backend CAD AI IoT Engineer – Coding Wizard; remote/onsite
Remote / Online - Candidates ideally in
Bloomington, Monroe County, Indiana, 47401, USA
Listed on 2026-07-07
Bloomington, Monroe County, Indiana, 47401, USA
Listing for:
Imnoo AG
Remote/Work from Home
position Listed on 2026-07-07
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
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.
- 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
- 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
- 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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