
AI Engineer – Berlin, Munich
DONE!Berlin
full-time
Posted on:
Location Type: Hybrid
Location: Berlin • 🇩🇪 Germany
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
CloudDockerGoogle Cloud PlatformLinuxPythonPyTorchScikit-LearnTensorflow
About the role
- You’ll be part of a small, agile team developing AI solutions for real-time analytics, content moderation, and campaign optimization.
- Develop and deploy AI-powered tools for real-time social media and video campaigning
- Build and fine-tune machine learning models (e.g., for content classification, sentiment analysis, recommendation systems)
- Design automated content moderation systems using LLMs and computer vision techniques
- Create real-time analytics pipelines to measure campaign performance and engagement
- Collaborate closely with strategists, creatives, and developers to bring AI solutions to life
- Continuously evaluate and improve model performance, fairness, and ethical impact
Requirements
- Experience integrating and fine-tuning large language models (LLMs) in production environments
- Strong background in machine learning and data science (e.g., scikit-learn, TensorFlow, PyTorch, Hugging Face)
- Proficient in Python and experienced with building and maintaining ML pipelines
- Skilled in deploying ML models using cloud platforms (especially GCP) and Docker
- Understanding of data privacy, AI ethics, and bias mitigation strategies
- Comfortable working in a Linux environment; familiar with CI/CD, GitLab, and ML DevOps practices
- Passionate about using technology for social impact and democratic resilience
- German in C1/C2 level
Benefits
- The opportunity to apply AI for positive societal impact
- A high degree of ownership and the chance to shape our AI infrastructure from the ground up
- Flexible working hours and remote work options across Germany
- A small, motivated, and mission-driven team where your ideas and work truly matter
- A culture that values openness, collaboration, and continuous learning
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdata sciencelarge language modelsreal-time analyticscontent moderationsentiment analysisrecommendation systemsPythonML pipelinesAI ethics
Soft skills
collaborationcommunicationproblem-solvingadaptabilitycreativitypassion for social impact