Successful with AutoForm!
AutoForm offers software solutions for sheet metal forming and BiW assembly process. With over 500 employees dedicated to this field, AutoForm is recognized as the leading provider of software for product manufacturability, tool and material cost calculation, die face design and virtual stamping as well as BiW assembly process optimization. All of the Top 20 automotive OEMs and most of their suppliers have selected AutoForm as their software of choice. Besides its headquarters in Switzerland, AutoForm has offices in Germany, The Netherlands, France, Spain, Italy, Czech Republic, Sweden, USA, Mexico, Brazil, India, China, Japan and Korea.
AutoFormers are key to our success. Our vision is to attract, develop and retain high caliber professionals by providing challenging opportunities in an exciting and progressive work environment. Our software spans a broad range of technologies: finite element simulation, computer aided design and engineering, process simulation, data analytics, machine learning, high performance computing, 3D visualization and many more. Our Scrum based development is supported by sophisticated DevOps build, quality and release systems. Learn more about AutoForm.
To support the growth of our Software Development Departmentin Zurich, Switzerland we are looking for a
AutoForm is building a next-generation Application Platform to support and scale innovative AI-powered cloud applications. We are seeking a skilled and pragmatic AI Platform Specialist to join our interdisciplinary Platform Team. You will design, implement, and support the infrastructure and tooling that enable scalable, efficient, and reliable AI model training and serving.
This is not a research position — we are looking for a seasoned engineer passionate about AI architecture, MLOps, and cloud-native solutions, not model invention
Your tasks
As an AI Platform Specialist, you will:
- Develop and maintain robust AI pipeline tooling for model training, testing, and deployment
- Provide and support AI frameworks and libraries for teams building AI-based applications
- Design scalable AI architectures suitable for cloud-based workloads
- Manage containerized deployment environments using Docker and Kubernetes
- Integrate and operate Kubeflow, MLflow, or similar MLOps stacks
- Enable efficient model versioning, reproducibility, and traceability
- Collaborate closely with product teams and platform colleagues in a SCRUM-based setup
Your profile
We’re looking for someone with the following background and mindset:
- Degree in computer science, engineering or natural science
- Experience in machine learning infrastructure and tooling
- Solid grasp of MLOps principles and AI model serving pipelines
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code
- Proficient in Python and scripting for automation
- Familiarity with ML libraries such as TensorFlow, PyTorch, and related deployment frameworks
- Hands-on knowledge of CI/CD, Kubernetes, and Kubeflow
- Strong communication skills and a collaborative mindset
- Good English required; German is a plus
Our offer
- A challenging role in a respectful and global working environment
- Be part of a world-leading, high-end CAE software company
- Work on cutting-edge technologies in the automotive industry
- Professional development organization working on multiple projects, supported by AI-powered tools and dedicated service teams including Architecture and DevOps
- Opportunities for professional growth and continuous learning, including the chance to explore new challenges by changing teams or projects through our annual internal marketplace
- Excellent work-life balance with flexible home office and working hours, complemented by a variety of sports activities and company events to support your well-being
Start of work is as soon as possible. Please note that we only consider applicants that have the legal right to work in Switzerland. We will only consider direct applications. Please send your CV and attachments with the reference 25/12/pts per e-mail to Michelle Schuler, Human Resources Zurich. We are looking forward to receiving your application.
Processing of applicant’s personal data is based on our Data Privacy Policy.
Learn more about AutoForm at our YouTube Channel or see our software in action.