Scout24
Senior MLOps / LLMOps Engineer(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
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SCScout24
Senior MLOps / LLMOps Engineer(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Building scalable ML and LLM systems, operating self-hosted models and evaluation frameworks for Germany's #1 real estate platform. Strong MLOps, Python, and production system operation skills required. Hybrid work, 30 days vacation, and work-from-abroad option.
Anforderungen
- Strong MLOps experience (CI/CD, Docker, Kubernetes)
- Experience operating production-grade systems
- Proficiency in Python
- Solid software engineering skills
- Scalable system design skills
- Hands-on LLMs experience
- Generative AI technologies experience (e.g. GPT, Gemini or Anthropic-like models)
- Expertise in prompt engineering
- Expertise in agent orchestration
- Expertise in context management
- Expertise in output validation
- Experience with LLM evaluation frameworks
- Experience deploying self-hosted LLMs
- Familiarity with cloud platforms (e.g. AWS, GCP)
- Familiarity with DevOps practices
- Familiarity with testing practices
- Familiarity with observability practices
- Strong communication skills
- Ability to collaborate with cross-functional teams
- Ability to collaborate with stakeholders
- Support for professional development of people with disabilities
Aufgaben
- Build scalable ML and LLM-based systems
- Operate self-hosted models and evaluation frameworks
- Ensure platform reliability and robustness
- Shape AI platform for efficient development and deployment
- Enable teams to scale traditional ML and generative AI solutions
- Ensure ML/LLM applications are observable and cost-efficient
- Establish best practices for LLMOps
- Design and maintain scalable ML/LLM infrastructure
- Productionize ML and generative AI solutions
- Own ML/LLMOps lifecycle: prompting, deployment, monitoring, evaluation, optimization
- Build and evolve LLM Gateway service
- Standardize access, routing, and governance for LLMs
- Develop evaluation frameworks for quality, performance, reliability
- Design MCP-compatible services for context exchange
- Integrate MCP into internal platforms
- Support tool use, retrieval, and agent-based workflows
- Work with AWS and self-hosted open-source AI models
- Ensure system observability and cost efficiency
- Contribute to project management and stakeholder communication
- Collaborate across teams
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- MLOps
- CI/CD
- Docker
- Kubernetes
- Python
- LLMs
- GPT
- Gemini
- Anthropic
- AWS
- GCP
Benefits
Flexibles Arbeiten
- Hybrid work model
Mehr Urlaubstage
- 30 days of vacation
Workation & Sabbatical
- Work from abroad (10 days/year)
Sonstige Vorteile
- Visa process support
- Structured feedback
- Diversity initiatives
- Support for people with disabilities
- Disability representative
Sonstige Zulagen
- Relocation package
Mitarbeiterrabatte
- Employee discount on products
Weiterbildungsangebote
- Dedicated learning time
- Online courses
- Lunch & Learn events
Abwechslungsreiche Aufgaben
- Book challenges
Karriere- und Weiterentwicklung
- Individual career paths
Familienfreundlichkeit
- Family service support
Lockere Unternehmenskultur
- Dog-friendly office
Öffi Tickets
- Public transport subsidy
Firmenfahrrad
- Job Bikes
Fokus auf Nachhaltigkeit
- Environmental and climate protection goals
- 100% green electricity
Team Events & Ausflüge
- Social activities
Gemeinnützige Ausrichtung
- Charitable organization involvement
Betriebliche Altersvorsorge
- Company pension scheme
Gesundheits- & Fitnessangebote
- Gym with courses
- Health check-ups
Modernes Büro
- Napping room
Startup-Atmosphäre
- Rooftop terrace
Snacks & Getränke
- Organic coffee
Gratis oder Vergünstigte Mahlzeiten
- Cafeteria
Mentale Gesundheitsförderung
- Massage therapist
- Life Situation Coaching
Moderne Technikausstattung
- Latest technical tools and hardware
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Scout24 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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SCScout24
Senior MLOps / LLMOps Engineer(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Building scalable ML and LLM systems, operating self-hosted models and evaluation frameworks for Germany's #1 real estate platform. Strong MLOps, Python, and production system operation skills required. Hybrid work, 30 days vacation, and work-from-abroad option.
Anforderungen
- Strong MLOps experience (CI/CD, Docker, Kubernetes)
- Experience operating production-grade systems
- Proficiency in Python
- Solid software engineering skills
- Scalable system design skills
- Hands-on LLMs experience
- Generative AI technologies experience (e.g. GPT, Gemini or Anthropic-like models)
- Expertise in prompt engineering
- Expertise in agent orchestration
- Expertise in context management
- Expertise in output validation
- Experience with LLM evaluation frameworks
- Experience deploying self-hosted LLMs
- Familiarity with cloud platforms (e.g. AWS, GCP)
- Familiarity with DevOps practices
- Familiarity with testing practices
- Familiarity with observability practices
- Strong communication skills
- Ability to collaborate with cross-functional teams
- Ability to collaborate with stakeholders
- Support for professional development of people with disabilities
Aufgaben
- Build scalable ML and LLM-based systems
- Operate self-hosted models and evaluation frameworks
- Ensure platform reliability and robustness
- Shape AI platform for efficient development and deployment
- Enable teams to scale traditional ML and generative AI solutions
- Ensure ML/LLM applications are observable and cost-efficient
- Establish best practices for LLMOps
- Design and maintain scalable ML/LLM infrastructure
- Productionize ML and generative AI solutions
- Own ML/LLMOps lifecycle: prompting, deployment, monitoring, evaluation, optimization
- Build and evolve LLM Gateway service
- Standardize access, routing, and governance for LLMs
- Develop evaluation frameworks for quality, performance, reliability
- Design MCP-compatible services for context exchange
- Integrate MCP into internal platforms
- Support tool use, retrieval, and agent-based workflows
- Work with AWS and self-hosted open-source AI models
- Ensure system observability and cost efficiency
- Contribute to project management and stakeholder communication
- Collaborate across teams
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- MLOps
- CI/CD
- Docker
- Kubernetes
- Python
- LLMs
- GPT
- Gemini
- Anthropic
- AWS
- GCP
Benefits
Flexibles Arbeiten
- Hybrid work model
Mehr Urlaubstage
- 30 days of vacation
Workation & Sabbatical
- Work from abroad (10 days/year)
Sonstige Vorteile
- Visa process support
- Structured feedback
- Diversity initiatives
- Support for people with disabilities
- Disability representative
Sonstige Zulagen
- Relocation package
Mitarbeiterrabatte
- Employee discount on products
Weiterbildungsangebote
- Dedicated learning time
- Online courses
- Lunch & Learn events
Abwechslungsreiche Aufgaben
- Book challenges
Karriere- und Weiterentwicklung
- Individual career paths
Familienfreundlichkeit
- Family service support
Lockere Unternehmenskultur
- Dog-friendly office
Öffi Tickets
- Public transport subsidy
Firmenfahrrad
- Job Bikes
Fokus auf Nachhaltigkeit
- Environmental and climate protection goals
- 100% green electricity
Team Events & Ausflüge
- Social activities
Gemeinnützige Ausrichtung
- Charitable organization involvement
Betriebliche Altersvorsorge
- Company pension scheme
Gesundheits- & Fitnessangebote
- Gym with courses
- Health check-ups
Modernes Büro
- Napping room
Startup-Atmosphäre
- Rooftop terrace
Snacks & Getränke
- Organic coffee
Gratis oder Vergünstigte Mahlzeiten
- Cafeteria
Mentale Gesundheitsförderung
- Massage therapist
- Life Situation Coaching
Moderne Technikausstattung
- Latest technical tools and hardware
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Scout24 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
Scout24
Branche
RealEstate
Beschreibung
Das Unternehmen revolutioniert den Immobilienmarkt in Deutschland und Österreich und baut ein digitales Ökosystem für Hausbesitzende, Suchende und Makler auf.
Noch nicht perfekt?
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