Integration engineer Jobs in Nidderau

Main task of a Software Engineer with focus on MLOps is to create a robust, performant, and self-healing edge or cloud frameworks for the deployment of AI models. These include the connectivity to input sources and output sinks with all steps monitored and containerized. As a Software Engineer with focus on MLOps, you will play a crucial role in building and scaling our ML systems, ensuring they are robust, scalable, and seamlessly integrated into our products and services.

The following challenges await you :

• Design, build, and maintain the infrastructure and tools to deploy, monitor, and manage ML models in production.
• Work closely with data scientists and data engineers to create scalable, efficient, automated pipelines that ingest, process, and analyze large datasets.
• Responsibility for orchestrating and scheduling platforms (e.g. Dataiku) and solutions.
• Implement robust data validation and testing frameworks to ensure the accuracy and integrity of data and models.
• Collaborate with cross-functional teams to ensure that ML solutions meet business requirements and align with company goals.
• Responsible for interfacing to hardware such as cameras – GPIO ports or sensors.

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