Hybrid AI Engineer, Berlin or Munich

Posted last week

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About the role

  • Be part of a small, agile team developing AI solutions for real-time analytics, content moderation, and campaign optimization
  • Develop and deploy AI tools for real-time social media and video campaigns
  • Build and optimize 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 tools to measure campaign performance and engagement
  • Work 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 LLMs in production environments
  • Strong knowledge of machine learning and data science (e.g., scikit-learn, TensorFlow, PyTorch, Hugging Face)
  • Proficiency in Python and experience building and maintaining ML pipelines
  • Skilled in deploying ML models on cloud platforms (especially GCP) and using Docker
  • Understanding of data protection, AI ethics, and bias mitigation strategies
  • Comfortable in a Linux environment; familiar with CI/CD, GitLab, and ML DevOps practices
  • Passion for using technology for social impact and democratic resilience
  • German language skills at C1/C2 level

Benefits

  • The opportunity to apply AI for positive societal impact
  • High degree of ownership and the chance to shape our AI infrastructure from the ground up
  • Flexible working hours and remote work options within Germany
  • A small, motivated, mission-driven team where your ideas and work truly matter
  • A culture that values openness, collaboration, and continuous learning

Job title

AI Engineer, Berlin or Munich

Job type

Experience level

Junior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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