Job Title: AI Engineer / ML Engineer
About Us:
We are a team of 100+ specialists, innovators, and creative minds who have turned passion into profession. We develop open-source-driven software that challenges the status quo, aiming to shape the future with our customers through cutting-edge software and AI solutions. Leveraging state-of-the-art technologies and agile methods, we deliver intelligent, custom solutions that drive digitalization and keep our clients ahead in a fast-changing landscape. Our offerings include full-stack development, with flagship products like a chatbot for digital assistants and an integrated video platform for e-learning, alongside tailored software and AI engineering services.
Live Projects:
We're launching the Sparkassen-KIPilot—a cutting-edge AI assistant that boosts productivity by automating tasks, analyzing data, and generating customer communications for Sparkassen employees.
Key Responsibilities:
* In cooperation with our highly qualified AI team, you will develop AI solutions for our in-house products as well as for individual customer requests
* Variety is particularly important to you? With us, you get the perfect mix of DevOps, Python backend and machine learning
* Our primary focus is on NLP (Natural Language Processing), especially LLMs (Large Language Models), as well as other exciting topics such as computer vision
* In order for us to become even better together, regular exchange with the AI team, our other engineering teams and stakeholders is part of our daily business
* The preparation and processing of large amounts of data will also be part of your tasks
* Finally, of course, your creative streak should not be neglected. Therefore, we are happy to receive ideas and solutions developed independently and in a team
What You Bring:
* Degree in (business) informatics or related field.
* Experience as a software or AI engineer with an interest in project management.
* Strong organizational skills, attention to detail, and reliability.
* Fluent in German and English.
What We Offer:
* Training: Continuous learning and professional development opportunities.
* Flexible Working Hours: Work at times that suit you best.
* Mobile Working: Choose between working on campus or from home.