AI Platform Engineer
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Role details
Tech stack
Job description
We are looking for a Senior AI Platform Engineer for a client in the banking sector, to help migrate and modernize AI applications on a cloud-native Azure platform. You will work with Azure, Kubernetes, and GenAI technologies to build scalable and production-ready solutions. Your Job
- Migrate and optimize Python-based AI applications.
- Design and maintain Azure infrastructure and AKS environments.
- Set up CI/CD pipelines and automated testing.
- Develop APIs using FastAPI and integrate cloud services.
- Work with Azure OpenAI and modern GenAI solutions.
- Share expertise on Kubernetes operations and best practices.
Requirements
- 5+ years of experience with Python, Azure, Spark, Git, and Azure DevOps.
- Strong hands-on experience with Azure Kubernetes Service (AKS).
- Experience with Azure OpenAI, RAG, embeddings, and LLM-based applications.
- Knowledge of APIs, FastAPI, testing frameworks, and messaging services.
- Strong communication skills, stakeholder management and ownership mentality.
Benefits & conditions
- Hybrid working
- A high-impact role in a diverse, international environment.
- 25 vacation days.
- Salary up to 7.500 gross per month.
About the company
Our client is a key player in the financial sector, known for its innovative approach of technology and data. They focus on developing advanced digital solutions that make financial services smarter, faster and more secure. With a strong emphasis on IT-driven innovation, they offer an exciting environment for professionals eager to work on impact full projects in areas like security, automation, cloud solutions and data analytics.
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