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ArtefactPosted 1 month ago
EXPIRED

Senior AI Engineer (m/f/d)

HybridBerlin, State of Berlin, Germany

Full TimeSenior LevelMediumConsulting Services

Job Summary

Identify business needs, explore data and AI use cases, and drive projects from concept to production. Own work end-to-end, designing robust solutions using LLMs, RAG pipelines, and vector databases. Experiment with new models, prompt engineering, and fine-tuning while sharing knowledge within interdisciplinary teams. Collaborate closely with clients, product owners, and non-technical stakeholders to balance technical excellence with practical impact. Work on 1-3 projects annually across industries like customer service automation and knowledge management.

Required Qualifications

  • Degree in computer science, AI, data science or similar field
  • 3+ years of experience in machine learning or AI engineering
  • hands-on AI projects in production
  • Proficiency in Python
  • cloud-based AI services (GCP, AWS, or Azure)
  • Solid understanding of data analysis/engineering
  • AI-specific components like RAG, prompt design, fine-tuning, embeddings, and model evaluation
  • Familiar with DevOps and ML-Ops best practices (Docker, Kubernetes, CI/CD)
  • Strong problem-solving skills
  • sense of ownership
  • structured approach to work
  • Business-fluent German
  • English (both written and spoken)
  • valid work permit for Germany

Desired Qualifications

  • experience with LLMs (e.g. OpenAI, Claude, Gemini, LLaMA)
  • prompt engineering
  • API integration
  • ML frameworks
  • understanding of the full ML lifecycle, including data preparation, model deployment, evaluation, and monitoring
  • experience coaching junior team members
  • providing constructive feedback
  • contributing to a culture of learning
  • Curious & forward-thinking mindset
  • passion for solving complex problems using cutting-edge AI and data technologies
  • Hands-on approach
  • Holistic understanding of the full ML lifecycle
  • Communicative skills to break down technical concepts for diverse audiences
  • Supportive nature

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