AI Engineer (m/w/x)

About the job

Responsibilities

• Develop and implement AI solutions from requirements analysis and conception to production deployment.
• Integrate AI models, services, and functions into existing applications, platforms, and business processes.
• Build scalable, maintainable, and secure solution architectures for AI applications on modern cloud and data platforms.
• Conduct prototypes and proofs of concept, and systematically transfer successful approaches into production solutions.
• Collaborate with business units to translate requirements into technically and economically viable solutions.
• Ensure quality, performance, security, maintainability, and traceable documentation throughout the solution lifecycle.
• Consider data privacy, information security, data and AI governance, and responsible AI use.
• Support and transfer knowledge to internal teams, and contribute to building reusable components and best practices.
• Prepare, integrate, and transform data required for AI solutions, and contribute to data pipelines and data models.
• Analyze and explore data, and develop suitable statistical, machine learning, and AI-based approaches.
• Operate, monitor, analyze errors, and continuously optimize existing AI solutions.
• Support testing, deployment, release management, and handover to regulated operational processes.

Requirements

• Completed technical education or degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a comparable field.
• Several years of experience in developing and productively implementing data, analytics, or AI solutions.
• Good programming skills, especially in Python, with experience in APIs, software architectures, and version control.
• Practical experience with Machine Learning, generative AI, Large Language Models, or comparable AI technologies.
• Experience with cloud platforms and AI services, preferably in the Microsoft Azure environment.
• Initial practical experience in data preparation, data integration, data modeling, or building data pipelines, ideally within AI or ML projects.
• Understanding of the production operation of applications, including deployment, monitoring, logging, testing, and troubleshooting.
• Experience with modern data platforms, ideally Databricks, is advantageous.
• Knowledge of container technologies, CI/CD, DevOps, or MLOps approaches is advantageous.
• Ability to understand business requirements and translate them into robust, scalable, and maintainable technical solutions.
• Very good German and English language skills (C1 level).

Benefits

• Mobility offers and parking around the plant.
• Home office or flexible working time models.
• Career, training, and further education opportunities.
• Discounts, leisure activities, and events.
• Company canteen, café, and shops.
• Childcare services.
• Health programs and counseling services.
• Sustainability programs.