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Machine Learning Engineer (Fully Remote)

Full-time

Imnoo AG

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 loooooooooooot all the time!!!!
  • Work on tangible, real-world challenges that make an impact.
  • Fully flexible work style.
  • Snacks of your choice.
  • Support for professional certifications and development.
  • 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 software / coding skills
  • 5+ years in both dynamically typed and 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.(nice to have)
  • Industry/Mechanical experience in CNC and related fields (optional)
  • Hands-on experience in Frontend (e.g., Angular) and Backend development . (optional)
  • Full-stack development experience.(optional)
  • Familiarity with popular machine learning/deep learning libraries, such as scikit-learn , PyTorch , and PyTorch Lightning . (nice to have)
  • Experience with industrialization tools for machine learning models, including quantization , ONNX , and Docker .(nice to have)
  • Knowledge of MLOps practices and pipeline development.(nice to have)
  • Expertise in processing, clustering, filtering, indexing, and querying large datasets efficiently. (nice to have)
  • 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 NoSQL . (optional)
  • Deep understanding of data structures. (optional)
  • Familiarity with compiled languages like C# , C++ , or similar.(nice to have)

Vacancy posted 4 days ago
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