Cloud AI Specialist
Vor 5 Tagen
As a senior data engineer, you will advise clients on data and AI strategies, design and implement data pipelines, ML/LLM integrations, and scalable platforms.
You will also ensure reliability, automation, and best practices in data workflows, share knowledge and contribute to best practices, take ownership of projects, and collaborate with stakeholders.
Your main responsibilities include:
- Designing and implementing data pipelines and ML/LLM integrations
- Ensuring reliability, automation, and best practices in data workflows
- Collaborating with stakeholders and taking ownership of projects
- Sharing knowledge and contributing to best practices
Key Responsibilities
Some of your key responsibilities include designing and implementing data pipelines and ML/LLM integrations, ensuring reliability, automation, and best practices in data workflows, collaborating with stakeholders and taking ownership of projects, and sharing knowledge and contributing to best practices.
Requirements
To be successful in this role, you will need to have experience in data/software engineering with an excellent understanding of software engineering principles, strong technical skills in programming, distributed computing, databases, cloud platforms, APIs, Docker, and Kubernetes, client-facing consulting experience, fluency in German (C2) and English, and a Swiss or EU/EFTA work permit.
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