Назад
10 часов назад

Senior Machine Learning Engineer (AI)

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

Senior Machine Learning Engineer (AI)

RELOCATION TO BERLIN Location: Hybrid (Berlin, Germany). Must be based in or be able to relocate to Berlin, Germany (attendance at the Berlin campus 2 days a week).

Company

A pioneering local delivery platform operating in over 70 countries, focusing on efficient, affordable, and sustainable last-mile delivery.

What you will do

  • Build and scale AI agents capable of reasoning, tool calling, and interacting with internal services and data systems.
  • Develop and maintain Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic retrieval systems.
  • Design and implement evaluation frameworks and safety guardrails for agent behavior and model performance.
  • Implement observability, monitoring, and cost visibility for LLM and agent workloads.
  • Collaborate with data scientists and platform engineers to integrate AI systems with the broader ML ecosystem.
  • Optimize systems for performance, reliability, and cost efficiency while operating AI workloads at scale.

Requirements

  • Proven experience shipping LLM-powered systems or AI agents into production.
  • 4+ years of experience in production machine learning infrastructure , specifically involving LLMs.
  • Strong programming skills in Python with experience building scalable backend services.
  • Experience with Cloud platforms, ideally AWS or GCP.
  • Strong communication skills and ability to work collaboratively in cross-functional teams.

Nice to have

  • Experience with Kubernetes, Terraform, Kafka, MLflow, or Kubeflow.
  • Experience with LLM application frameworks such as LangChain, LangGraph, or LlamaIndex.
  • Experience with ML frameworks such as Hugging Face or PyTorch.

Culture & Benefits

  • Hybrid working model with 2 days a week in the Berlin campus.
  • 27 days of holiday, increasing with years of service.
  • €1,000 Educational Budget, language courses, and access to Udemy Business.
  • Health checkups, meditation, and gym/bicycle subsidies.
  • Employee Share Purchase Plan, corporate pension plan, and life/accident insurance.
  • Relocation support and dedicated relocation hub for moving to Berlin.

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