Scout24
Senior MLOps / LLMOps Engineer(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
GEGetYourGuide
Senior ML Ops Engineer, AI Platform Team(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Spark
Benefits
Flexibles Arbeiten
- Hybrid working approach
- Work from anywhere (30 days/year)
Sonstige Zulagen
- Annual personal growth budget
Mentoring & Coaching
- Mentorship programs
Team Events & Ausflüge
- Quarterly team events
- Yearly company events
Öffi Tickets
- Monthly transportation budget
Gesundheits- & Fitnessangebote
- Monthly fitness budget
- Health and wellness benefits
Mitarbeiterrabatte
- Discounts on activities
Weiterbildungsangebote
- Language reimbursement
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens GetYourGuide erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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GEGetYourGuide
Senior ML Ops Engineer, AI Platform Team(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Spark
Benefits
Flexibles Arbeiten
- Hybrid working approach
- Work from anywhere (30 days/year)
Sonstige Zulagen
- Annual personal growth budget
Mentoring & Coaching
- Mentorship programs
Team Events & Ausflüge
- Quarterly team events
- Yearly company events
Öffi Tickets
- Monthly transportation budget
Gesundheits- & Fitnessangebote
- Monthly fitness budget
- Health and wellness benefits
Mitarbeiterrabatte
- Discounts on activities
Weiterbildungsangebote
- Language reimbursement
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens GetYourGuide erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
GetYourGuide
Branche
Tourism
Beschreibung
GetYourGuide is the globally leading marketplace for unforgettable travel experiences, helping travelers discover the best things to do.
Noch nicht perfekt?
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