München

Your Role

• AI Engineer (m/f/d) with focus on Machine Learning in our R&D projects with engineering teams of 2-5 people
• Researching and building real AI and Machine Learning solutions for a wide range of industries and for different use cases - from a first PoC and MVP to fully operating applications
• Defining the right tech stack and setting up the architecture for the projects by following a two-weekly Scrum process using GitLab, Jira, Slack, Continuous Integration & Delivery, etc.
• You take an active, client facing role as a technical expert
• Constantly improving our Enterprise AI Business Unit and building up knowledge by introducing new tools, best practices or frameworks and sharing learnings from our projects

Your Profile

• University degree in Computer Science, Software Engineering with focus on AI or in similar disciplines and at least 3 years of track record in agile software development
• Strong knowledge of state-of-the-art Deep Learning & Machine Learning approaches & models specifically in Reinforcement Learning, Graph Neural Networks, and Transformers as well as strong experience in Python and with various libraries/frameworks (e.g. numpy, scipy, pandas, sklearn, Tensorflow, PyTorch etc.)
• Strong knowledge of algorithms and tools landscape in the area of knowledge bases and graphs as well as of retrieval augmented generation (RAG) related technologies
• Experience in engineering and architectural practices such as code refactoring, design patterns, design driven development, continuous integration, building highly scalable applications/digital products
• Strong analytical and problem solving skills paired with the ability to develop creative and efficient solutions
• Comfortable with ambiguity and rapid changes common in early-stage product development, interest in learning new tech stacks and strong command of English language (both verbal and written), German is a plus

Your Benefits

• We enable: The chance to use newest technologies in our different R&D projects, an individual learning & development budget and a defined Talent Journey for your further growth
• We create: Huge impact on future products and insights from a broad range of industries, in an environment with flexible working hours and up to 50% remote work
• We explore: Regular Tech Discovery and Discovery Conference to stay close to new tech
• We are community-driven: Vibrant and interdisciplinary tech community as well as regular team buildings and company events