Data Scientist, AI Engineer – Focus on Machine Learning & GenAI

• Lead projects independently and end-to-end, from initial project communication through architecture to final implementation


• Drive data-driven innovation in close collaboration with the CTO and the interdisciplinary team


• Design and implement RAG (Retrieval-Augmented Generation) pipelines


• Integrate GenAI APIs and open-source models into production customer solutions


• Design modern AI agent workflows


• Develop, train, and deploy ML models end-to-end


• Implement computer vision and predictive analytics solutions


• Develop custom specialist software, visualizations, edge-compute platforms, and low-latency data collectors


• Analyze complex acoustic data for anomaly detection and further develop audio-based AI workflows


• Design and build robust data pipelines for cloud, on-premises, and edge applications


• Mathematically model, simulate, and optimize technical systems

Requirements

• Completed degree (Master's or PhD) in Computer Science, Data Science, Physics, Mathematics, Mechanical Engineering, or a comparable STEM field


• Residence in or near Munich, or willingness to relocate for the position


• Relevant practical or professional experience in data science, machine learning, or software engineering


• Ambitious graduates are welcome to apply with relevant hands-on projects, open-source contributions, Kaggle projects, or strong industry internships


• Strong proficiency in Python


• Experience with common data science and ML libraries in production environments


• Practical experience with C++, cloud architectures such as AWS or Azure, Gen-AI frameworks like LangChain or Pydantic AI, or containerization with Docker or Kubernetes is a strong plus


• Ability to explain complex technical topics clearly and communicate with non-technical colleagues and customers


• Proactive, self-directed, and solution-oriented work style


• Openness to new tasks and technological challenges and a passion for continuous learning


• Very good German language skills


• Good English skills are an advantage

Core Competencies

Demonstrates expertise in designing and implementing machine learning models, data pipelines, and AI workflows, with a strong foundation in Python and relevant data science libraries. Capable of leading projects independently while effectively communicating complex technical concepts to diverse stakeholders.

Highest-signal resume keywords

• Machine Learning Model Development


• Data Pipeline Design


• Python Proficiency


• Gen-AI Frameworks Experience


• Cloud Architecture Knowledge

ATS Optimization Keywords

Hard Skills

• Machine Learning


• Data Science


• Computer Vision


• Predictive Analytics


• RAG Pipeline Design


• Acoustic Data Analysis


• Mathematical Modeling


• Software Development


• Anomaly Detection


• AI Workflow Design

Soft Skills

• Proactive Work Style


• Solution-Oriented Approach


• Clear Communication


• Openness to Learning


• Collaboration

Industry Keywords

• Data Science


• Machine Learning


• Artificial Intelligence


• STEM Field


• Technical Systems Optimization


• Cloud Applications


• Production Environments


• Visualizations


• Low-Latency Data Collection


• Interdisciplinary Collaboration

Tools & Technologies

• Python


• C++


• AWS


• Azure


• Docker


• Kubernetes


• LangChain


• Pydantic AI


• Open-Source Models


• Edge-Compute Platforms