Cloud Engineer focusing on Generative AI and scalable cloud infrastructures in an innovative consulting firm. Collaborating on challenging projects and building efficient cloud-based AI solutions.
Responsibilities
End-to-end responsibility for developing, deploying, and operating scalable cloud architectures
Close collaboration with internal teams and clients to integrate generative AI models into production cloud solutions
Optimization of cloud resources for performance, cost-efficiency, scalability, and security
Analysis and sustainable remediation of complex infrastructure and performance issues
Design, evolution, and automation of CI/CD pipelines for cloud services and AI models
Technical consulting for clients and active participation in architecture decisions
Continuous development and refinement of best practices in Cloud Engineering and Generative AI
Requirements
Degree in Computer Science, Business Informatics, Engineering, or a comparable qualification
Several years of practical experience as a Cloud Engineer, ideally with a focus on Generative AI or data-driven platforms
Proven experience with at least one major cloud platform (AWS, Azure, or Google Cloud) in production environments
Strong knowledge of containerization and orchestration (Docker, Kubernetes)
Hands-on experience building and operating MLOps pipelines and managing the full AI model lifecycle
Solid skills in Data Engineering, data pipelines, and ETL processes
Experience with modern AI frameworks and tools such as Hugging Face, LangChain, or comparable technologies
Ability to analyze complex technical challenges in a structured way and implement sustainable solutions
Strong communication skills, including coordination with clients and stakeholders
Team-player mindset and experience working in interdisciplinary project teams
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