AI Cloud Engineer

Jobbeschreibung

About the job

Were seeking an experienced and enthusiastic Cloud Engineer/MLOps Engineer to support our clienta forward-thinking organization pioneering AI and Generative AI solutions. This is a fantastic opportunity to contribute to high-impact AI applications in a fast-paced, innovation-driven environment. If you're passionate about cloud technology, machine learning operations, and building production-grade AI systems, this role is tailor-made for you.

Role & Responsibilities

In this position, you'll act as a technical cornerstone in the design, deployment, and optimization of cloud-native AI solutions. Working alongside data scientists and engineers, youll help bridge the gap between research and scalable production systems.

Your key responsibilities will include:

• Designing and implementing secure, scalable cloud architectures for AI and Generative AI on Azure
• Deploying machine learning models and ensuring their seamless integration into the cloud infrastructure
• Automating model lifecycle workflows including deployment, monitoring, and updates
• Ensuring high reliability, performance, and security of AI platforms
• Staying current with advancements in MLOps, AI frameworks, and cloud tools
• Troubleshooting issues related to cloud infrastructure or model deployment
  
  
  

Your Profile

We're looking for someone with a sharp analytical mindset, strong technical expertise, and excellent collaboration skills.

You bring:

• Proven experience as a Cloud Engineer, MLOps Engineer, or in a similar cloud-based role
• Deep familiarity with Microsoft Azure and tools such as Azure ML, Azure OpenAI, and Databricks
• Hands-on experience deploying and monitoring Gen AI models using CI/CD tools (GitHub workflows, Weights & Biases, etc.)
• Strong software development skills (FastAPI, Asyncio are a plus), including API and frontend integration following security best practices
• Solid understanding of containerization and orchestration (Docker, Kubernetes)
• Experience with AI frameworks like TensorFlow, PyTorch, and large language models (e.g., GPT)
  
  
  

The Ideal Candidate

• Holds a university degree in Computer Science, Engineering, or a related field
• Possesses excellent problem-solving capabilities
• Thrives in a fast-moving, innovative team environment
• Communicates effectively and collaborates with diverse stakeholders