AUTO1 Group
Senior Machine Learning Platform/Ops Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
New Job?Nejo!
Your personal AI career agent
GEGetYourGuide
Senior ML Ops Engineer, AI Platform Team(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Building scalable ML systems and tools for travel experiences in 12,000+ cities. 4+ years MLOps best practices at scale required. Hybrid work, 30 days work-from-anywhere.
Requirements
- 4+ years of experience in applying MLOps best practices at scale
- Strong Computer Science fundamentals
- Polyglot mindset
- Python proficiency
- Ability to migrate between programming languages
- Delivering clean code
- Investigating new tools, languages, and practices
- Experience in organizing and querying data at scale
- Ability to prioritize and manage stakeholders
- Good communication skills
- Collaboration skills
- Ideas turn into reliable and maintainable code
- Outcome-driven work track record
- Experienced in operating at scale
- Cloud DevOps / infrastructure mindset
- Autonomous mindset
- Proactive mindset
- Customer-oriented mindset
- Project ownership
- Belief in team synergy
- Mentoring and knowledge sharing
- Prior experience in scale-up environments
- Experience with various technologies
- Interest in LLMs
- Interest in Generative AI challenges
Tasks
- Design and implement scalable machine learning systems
- Build tools for efficient machine learning solutions
- Increase the number of data products in production
- Reduce time to production for data products
- Lower operational costs for data products
- Collaborate with product teams on MLOps best practices
- Partner with product teams to deploy advanced algorithms
Work Experience
- 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Spark
Benefits
Flexible Working
- Hybrid working approach
- Work from anywhere (30 days/year)
Additional Allowances
- Annual personal growth budget
Mentorship & Coaching
- Mentorship programs
Team Events
- Quarterly team events
- Yearly company events
Public Transport Subsidies
- Monthly transportation budget
Healthcare & Fitness
- Monthly fitness budget
- Health and wellness benefits
Corporate Discounts
- Discounts on activities
Learning & Development
- Language reimbursement
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of GetYourGuide and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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GEGetYourGuide
Senior ML Ops Engineer, AI Platform Team(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Building scalable ML systems and tools for travel experiences in 12,000+ cities. 4+ years MLOps best practices at scale required. Hybrid work, 30 days work-from-anywhere.
Requirements
- 4+ years of experience in applying MLOps best practices at scale
- Strong Computer Science fundamentals
- Polyglot mindset
- Python proficiency
- Ability to migrate between programming languages
- Delivering clean code
- Investigating new tools, languages, and practices
- Experience in organizing and querying data at scale
- Ability to prioritize and manage stakeholders
- Good communication skills
- Collaboration skills
- Ideas turn into reliable and maintainable code
- Outcome-driven work track record
- Experienced in operating at scale
- Cloud DevOps / infrastructure mindset
- Autonomous mindset
- Proactive mindset
- Customer-oriented mindset
- Project ownership
- Belief in team synergy
- Mentoring and knowledge sharing
- Prior experience in scale-up environments
- Experience with various technologies
- Interest in LLMs
- Interest in Generative AI challenges
Tasks
- Design and implement scalable machine learning systems
- Build tools for efficient machine learning solutions
- Increase the number of data products in production
- Reduce time to production for data products
- Lower operational costs for data products
- Collaborate with product teams on MLOps best practices
- Partner with product teams to deploy advanced algorithms
Work Experience
- 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Spark
Benefits
Flexible Working
- Hybrid working approach
- Work from anywhere (30 days/year)
Additional Allowances
- Annual personal growth budget
Mentorship & Coaching
- Mentorship programs
Team Events
- Quarterly team events
- Yearly company events
Public Transport Subsidies
- Monthly transportation budget
Healthcare & Fitness
- Monthly fitness budget
- Health and wellness benefits
Corporate Discounts
- Discounts on activities
Learning & Development
- Language reimbursement
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of GetYourGuide and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
GetYourGuide
Industry
Tourism
Description
GetYourGuide is the globally leading marketplace for unforgettable travel experiences, helping travelers discover the best things to do.
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