The position of CAD AI Machine Learning / Deep Learning Engineer is offered by Imnoo AG for individuals passionate about solving real-world problems using software and machine learning. The work location is based in Switzerland and emphasizes a remote-friendly approach. This role is an ideal opportunity for candidates who feel that their current coding experience is lacking a meaningful impact. The job description highlights the company's focus on innovative projects that automate manufacturing processes.
Job Responsibilities
The successful candidate will engage in a variety of impactful tasks:
Developing efficient tools that influence the daily operations of manufacturers.
Creating advanced feature extraction and data-processing solutions dealing with CAD, 2D, and batch data for machine learning applications.
Designing and managing cloud services, APIs, automated model training, and deployment processes, ensuring they are ready for production.
Owning projects from the initial proof-of-concept phase through to production, which involves meticulous attention to optimization and machine learning services.
Enhancing CAD tools and solutions to facilitate better outputs and integrations.
Candidate Expectations
Candidates are expected to bring a strong skill set:
A minimum of 5 years of experience in software and coding, proficient in dynamically and statically typed languages is preferable.
Strong problem-solving capabilities, particularly focused on CAD systems and development.
Background experience in 3D/geometry/game development, fluids simulations, rendering, CUDA, or similar technologies.
Proficient work history in production environments under heavy load is highly sought after.
Desired Qualifications
While some qualifications are strictly necessary, others would be a bonus:
A degree in mathematics or statistics would be advantageous, particularly with experience in applied technologies.
Familiarity with CNC and mechanical industry would be beneficial but is not essential.
Experience with frontend development using frameworks like Angular and backend development will be considered a plus.
Knowledge of machine learning libraries such as scikit-learn, PyTorch, and PyTorch Lightning.
Familiarity with tools for industrializing machine learning models, including ONNX and Docker, will give applicants an edge.
Understanding of MLOps practices and effective pipeline development will also be desirable.
Skills in processing, filtering, and querying large datasets efficiently is an asset.
Experience with cloud services like AWS and Azure will be favorable.
Database skills in SQL and NoSQL, along with the understanding of data structures and compiled languages such as C# or C++, are beneficial but not compulsory.
Offer Details
Working with Imnoo AG presents various benefits:
Opportunities for both professional development and certification support are part of the offering, allowing employees to grow in their roles.
The company supports participation in professional fairs, enhancing networking opportunities and continuous learning.
The position comes with stock options or the possibility of equity participation in the company.
Flexible working hours with the option for a 3.5-day workweek is a unique offering, indicating a strong focus on work-life balance.
Employees benefit from a dynamic and innovative work environment, which is particularly appealing to individuals looking to make a difference in their field.
This role ensures minimal bureaucracy, allowing for a creative and open working environment where each team member has their voice recognized and valued.
An emphasis is placed on team culture, with regular social events fostering camaraderie and collaboration.
Candidates also enjoy 25 days of annual vacation, promoting both personal time and time for continuous growth and recovery.
Conclusion
In summary, the position at Imnoo AG calls for an innovative and skilled Machine Learning Engineer ready to take on the challenges that modern manufacturing faces today. This role not only offers a chance to impact real-world situations significantly but also provides an enriching work atmosphere where ideas are embraced, and professional growth is prioritized.
This job offer was originally published on himalayas.app
This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
