Tasks

As an AI & ML Engineer, you develop and optimize software solutions that integrate AI and machine learning technologies and deliver their results reliably and scalably.
Your responsibilities include managing machine learning pipelines for model management, testing, deployment, monitoring, and experiment tracking. You will also lead AI prototypes into production use.
You implement AI APIs and LLM-based applications and ensure that innovative functionalities can be used in production systems.
Together with relevant stakeholders, you will develop APIs and architectures for AI functionalities and data integration, incorporating established standards for software development and model governance.
For the deployment, operation and automation of our AI and ML applications on Microsoft Azure, you will use modern DevOps and MLOps practices and ensure stable and scalable operation.
You will support internal and external data scientists and engineers with best practices in software development and contribute to implementing ML solutions for production readiness.
Within agile development cycles, you will contribute to the further development of architectural principles for AI and machine learning applications.
You evaluate new technologies in a practical way, develop prototypes, and support the implementation of secure, ethical, and data protection-compliant AI solutions.

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Responsibilities

As an AI & ML Engineer, you develop and optimize software solutions that integrate AI and machine learning technologies and deliver their results reliably and scalably.
Your responsibilities include managing machine learning pipelines for model management, testing, deployment, monitoring, and experiment tracking. You will also lead AI prototypes into production use.
You implement AI APIs and LLM-based applications and ensure that innovative functionalities can be used in production systems.
Together with relevant stakeholders, you will develop APIs and architectures for AI functionalities and data integration, incorporating established standards for software development and model governance.
For the deployment, operation and automation of our AI and ML applications on Microsoft Azure, you will use modern DevOps and MLOps practices and ensure stable and scalable operation.
You will support internal and external data scientists and engineers with best practices in software development and contribute to implementing ML solutions for production readiness.
Within agile development cycles, you will contribute to the further development of architectural principles for AI and machine learning applications.
You evaluate new technologies in a practical way, develop prototypes, and support the implementation of secure, ethical, and data protection-compliant AI solutions.