CAD AI Machine Learning / Deep Learning Engineer – Coding Wizard ( 70% - 100% )

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)

Requirements

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)

Highlights

Stock options or equity participation in the company

Flexible working hours with the possibility of a 3.5-day work week

Access to cutting-edge technology and tools

Sponsorship of attending industry fairs

Originally posted on Himalayas