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AI Real-time Translation Infrastructure Engineer

Marcus Sokolov

Full-time · Job · Berlin

About the role

Translating a document is easy. Translating a live customer support conversation in under 200ms while preserving tone, technical terms, and brand voice — that's the problem we're solving. Our real-time translation engine handles 4 million message translations per day across 38 language pairs for SaaS companies with global customer bases. The ML models work. The infrastructure challenge is what keeps us up at night. Each translation request must hit our model, apply client-specific glossaries, run quality checks, and return a result before the customer notices any delay. You'll own the serving infrastructure: model deployment, request routing, caching strategies, and the autoscaling logic that handles the 10x traffic spikes when a major client runs a product launch. The infrastructure team is four engineers. You'll focus on the model serving layer while others handle the broader platform. Expect to spend 60% of your time on performance optimization and 40% on reliability engineering.

Responsibilities

  • Own the model serving infrastructure for real-time translation at scale
  • Optimize request routing and caching to meet sub-200ms latency targets
  • Build autoscaling logic that handles 10x traffic spikes gracefully
  • Implement client-specific glossary application in the serving pipeline
  • Monitor system health and investigate latency regressions
  • Design capacity planning models for infrastructure cost forecasting

Requirements

  • 3+ years in ML infrastructure or backend systems engineering
  • Experience serving ML models at high throughput with strict latency requirements
  • Strong Kubernetes and Docker skills for container orchestration
  • Proficiency in Python with performance optimization experience
  • Understanding of caching strategies and request routing patterns

Benefits

  • Fully remote across EU time zones
  • 30 days PTO
  • €2,500 home office budget
  • Annual team offsite
  • Stock options with 4-year vesting

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Categories

AI & Machine Learning Engineers MLOps & AI Infrastructure

Skills

python pytorch docker kubernetes aws

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Job Type

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Level

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Language

English

Salary Range

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AI Expertise

AI & Machine Learning Engineers MLOps & AI Infrastructure

Skills

python pytorch docker kubernetes aws fastapi

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