Назад
5 часов назад

Principal ML Engineer (Agentic AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Релокация
Germany
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Описание вакансии

Principal ML Engineer (Agentic AI)

Relocation to Berlin

Hybrid in Berlin, Germany: 2 days a week in Berlin campus required. Relocation support to Berlin available.

Company

World’s pioneering local delivery platform operating in 65+ countries, headquartered in Berlin, Germany, and listed on the Frankfurt Stock Exchange.

What you will do

  • Design and own end-to-end ML and data systems from ingestion to production deployment
  • Architect scalable data pipelines for RAG, embeddings, and real-time processing
  • Build and operate production-grade ML services, APIs, and infrastructure with IaC, containerization, and orchestration
  • Integrate ML systems with external APIs, tools, and platforms for automation
  • Establish monitoring, evaluation, and observability across data, models, and systems
  • Mentor engineers and set technical direction for the team

Requirements

  • Strong experience designing and scaling production-grade ML systems and data platforms
  • Deep expertise in data engineering, ML pipelines, RAG, and embedding workflows
  • Proven experience building reliable data infrastructure with data quality guarantees
  • Strong Python and SQL skills, Docker, Kubernetes, cloud environments
  • Experience with IaC (Terraform) and reproducible scalable systems
  • Hands-on integration of ML with APIs/services and production operations with monitoring

Nice to have

  • Experience with LLMs, agent architectures (LangGraph, AutoGen, CrewAI)
  • Familiarity with synthetic data, evaluation systems, AI feedback loops
  • Agent/ML observability tools (Langfuse, LangSmith)
  • Model serving, routing, inference optimization
  • Open-source models (LLaMA, Mistral) or custom inference
  • System reliability and safety patterns in AI

Culture & Benefits

  • Hybrid model with 2 days/week in Berlin campus
  • 27 days holiday + extra days after 2-3 years
  • €1,000 educational budget, language courses, Udemy, parental support
  • Health checkups, meditation, gym/bicycle subsidy
  • Employee share plan, sabbatical bank, transport discounts, insurance, pension
  • Meal vouchers, food perks, corporate discounts

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