Cloud MLOps Engineer supporting Data Science and Engineering teams by automating CI/CD pipelines and managing multi - cloud infrastructure for ML production.
About the role
- AI Engineer developing cutting-edge AI models and frameworks in a hybrid setup at a tech startup. Collaborating closely with founders to shape the future of AI technology.
Responsibilities
- Developing and optimizing modern neural networks for image and sensor data
- Building automated training, validation, and deployment pipelines
- Performance optimization for server, edge, and FPGA environments
- Research and development on our core innovation: an innovative method for the automatic creation of customized AI architectures that outperforms even experienced AI engineers
- Working closely with a dedicated team to help shape the future of AI development
Requirements
- Solid AI and ML knowledge with a focus on computer vision, Edge AI, and CNNs
- Proficiency in Python and common AI frameworks
- Strong problem-solving orientation and ability to work independently
- Fluent in German and English
- Ideally, experience in customizing AI architectures
Benefits
- Agile startup environment with direct impact
- Hybrid work model with flexible working hours
- Short decision-making paths, direct collaboration with management, and significant responsibility
- Recognition for strong performance and a development path up to leadership roles
- Competitive compensation, benefits, and 30 days of vacation
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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