Job Title : ML Engineer / AI 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.