Senior ML Ops Engineer
GetYourGuide · Travel E-commerce
- Location: Berlin (Germany)
- Work arrangement: hybrid
- Employment type: Full Time
- Seniority: senior
- Posted:
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Job description
Position:
Senior ML Ops Engineer, AI Platform Team
Company:
GetYourGuide
Location:
Germany, Berlin
Employment type:
Full Time
Work Arrangement:
Hybrid
Short Summary:
Join GetYourGuide's AI Platform team to design and implement systems for scalable machine learning and LLM solutions, impacting AI-powered products used by millions of travelers.
Responsibilities:
- Design and implement systems and tools for high-quality, scalable, and efficient machine learning and LLM solutions.
- Build the platform for AI-powered products, reducing time to production and maximizing best practices.
- Collaborate with product teams to bring advanced algorithms into production, following MLOps/LLMOps best practices.
Requirement:
- 3+ years building production ML/AI systems at scale.
- End-to-end AI/LLM product delivery experience.
- Proficiency in MLOps best practices, Python, data engineering, and cloud infrastructure.
- Strong stakeholder management and communication skills.
Benefits:
- Annual personal growth budget and mentorship programs.
- Work from anywhere in the world for 30 days per year.
- Hybrid working approach with three days in-office collaboration and two days optional at home.
- Opportunities for team collaboration and social events.
- Monthly transportation and fitness budget.
- Discounts on GetYourGuide activities.
- Language reimbursement program.
- Health and wellness benefits.
Senior ML Ops Engineer, AI Platform Team
Company:
GetYourGuide
Location:
Germany, Berlin
Employment type:
Full Time
Work Arrangement:
Hybrid
Short Summary:
Join GetYourGuide's AI Platform team to design and implement systems for scalable machine learning and LLM solutions, impacting AI-powered products used by millions of travelers.
Responsibilities:
- Design and implement systems and tools for high-quality, scalable, and efficient machine learning and LLM solutions.
- Build the platform for AI-powered products, reducing time to production and maximizing best practices.
- Collaborate with product teams to bring advanced algorithms into production, following MLOps/LLMOps best practices.
Requirement:
- 3+ years building production ML/AI systems at scale.
- End-to-end AI/LLM product delivery experience.
- Proficiency in MLOps best practices, Python, data engineering, and cloud infrastructure.
- Strong stakeholder management and communication skills.
Benefits:
- Annual personal growth budget and mentorship programs.
- Work from anywhere in the world for 30 days per year.
- Hybrid working approach with three days in-office collaboration and two days optional at home.
- Opportunities for team collaboration and social events.
- Monthly transportation and fitness budget.
- Discounts on GetYourGuide activities.
- Language reimbursement program.
- Health and wellness benefits.
Skills
- ci/cd
- mlops
- python
- spark
Languages
EN
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