Resumen del rol

Fullstack: Frontend Backend CAD AI IoT Engineer – Coding Wizard ( 70%- 100% ) (

Requisitos y responsabilidades

Contenido del rol extraído en secciones para revisar más rápido.

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.

Our Offer

  • Learn a lot about the machining industry
  • Work on tangible, real-world challenges that make an impact.

• 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.

• Strong coding skills

  • 5+ years in both dynamically typed and/or statically typed languages

• 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., 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. (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)
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FocoMachine Learning EngineeringÁrea del rol
Señal de seniorityMiddleNivel del candidato
StackAWS, Azure, DockerSkills principales
Ubicación5 países aceptadosElegibilidad

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