Senior AI Platform & MLOps Engineer

GetYourGuide; Berlin (NH); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Growth budget

Hybrid work model (3 in-office days)

Remote work flexibility 30 days/year

Team events & company-wide events

Transport & fitness budget

Employee discounts on GetYourGuide

Language reimbursement

Health & wellness benefits

Job summary

GetYourGuide is hiring a Senior AI/MLOps Engineer to join the AI Platform Team. You will design and implement scalable ML and LLM solutions, building the platform that powers all AI-enabled products.

You’ll partner with product teams to deploy advanced algorithms into production, following MLOps/LLMOps best practices. The role emphasizes autonomy, cross-functional collaboration, and delivering reliable, maintainable code at scale, with opportunities to influence architecture and drive production

Qualifications

• 3+ years building production ML/AI systems at scale and shipping AI/LLM-based features end-to-end.
• Strong CS fundamentals with a polyglot mindset and Python as primary language.
• Experience with MLOps/LLMOps: reproducibility, CI/CD for ML, versioning, testing, deployment patterns, monitoring.

Responsibilities

• Design and implement scalable ML and LLM systems for production use.
• Build and maintain the platform that powers AI-powered products and expedites production readiness.
• Collaborate with product teams to bring advanced algorithms into production using MLOps/LLMOps best practices.

Skills

Python

ML/LLMOps

CI/CD for ML

Data engineering

Cloud DevOps

Autonomy

Teamwork

Tools

Docker

Kubernetes

Airflow

Job description

GetYourGuide is hiring a Senior AI/MLOps Engineer to join the AI Platform Team. You will design and implement scalable ML and LLM solutions, building the platform that powers all AI-enabled products.

You’ll partner with product teams to deploy advanced algorithms into production, following MLOps/LLMOps best practices. The role emphasizes autonomy, cross-functional collaboration, and delivering reliable, maintainable code at scale, with opportunities to influence architecture and drive production