About the job

About the Company:We’re a team of 130+ innovators driving change through open-source tech and AI, co-creating the future with our customers. Our expertise spans full-stack development and custom AI engineering, delivering smart, scalable solutions that power digital transformation. With agile methods at our core, we create impactful products like an AI-driven chatbot and next-gen video platform for e-learning.

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.

• What You’ll Do:Collaborate with a highly skilled AI team to develop cutting-edge AI solutions for both in-house products and tailored customer projects.
• Enjoy a dynamic mix of DevOps, Python backend development, and machine learning, ensuring variety in your daily work.
• Work on NLP-focused projects, including Large Language Models (LLMs), while also exploring exciting fields like computer vision.
• Prepare and process large datasets to power AI models and improve solution performance.
• Engage in daily collaboration with cross-functional teams, including AI experts, engineers, and stakeholders, to drive innovation.
• Contribute your own ideas and independently developed solutions to enhance product capabilities and push boundaries.

• What You Bring:A master's degree in (Business) Informatics, Software Engineering, AI or a related field.
• Strong experience in machine learning or AI, ideally using Sklearn, TensorFlow, or PyTorch.
• Passion for agile software development, a creative mindset, and curiosity for emerging technologies.
• Proficiency in Python with additional knowledge of other languages like C/C++ or TypeScript being a plus.
• Fluent German and English communication skills.

• What they Offer:Continuous Learning – Training to boost your skills
• Flexible Working – Set your hours, work remotely or on campus
• Compensation for Overtime – Time off or pay for overtime hours
• Employee Benefits – Discounts, fitness options, and pension plan support
• Team Events – Parties, challenges, and meetups
• Family Support – Paid leave for child illness or childcare issues