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Senior MLOps / LLMOps Engineer(m/w/x)
Building scalable ML and LLM systems, operating self-hosted models, and shaping AI platforms for real estate tech. Strong MLOps, Python, and production system experience required. Hybrid work, 30 days vacation, and work-from-abroad option.
Requirements
- Strong MLOps experience (CI/CD, Docker, Kubernetes)
- Operating production-grade systems
- Proficiency in Python
- Solid software engineering skills
- Scalable system design skills
- Hands-on LLMs experience
- Hands-on 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
Tasks
- 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 for standardization
- Develop evaluation frameworks for quality, performance, reliability
- Design MCP-compatible services for context exchange
- Integrate MCP into internal platforms
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- MLOps
- CI/CD
- Docker
- Kubernetes
- Python
- LLMs
- GPT
- Gemini
- Anthropic
- AWS
- GCP
Benefits
Flexible Working
- Hybrid work model
- Work from abroad option
More Vacation Days
- 30 days of vacation
Other Benefits
- Visa process support
- Plus membership for tenants
- Structured feedback
- Diversity, Equity & Inclusion (DEI)
Additional Allowances
- Relocation package
Learning & Development
- Dedicated learning time
- Online courses
- Lunch & Learn events
Diverse Work
- Book challenges
- Diversity theme weeks
Career Advancement
- Individual career paths
Family Support
- Family service
Childcare
- Emergency childcare
Informal Culture
- Bring your dog to work
Public Transport Subsidies
- Public transport subsidy
Company Bike
- Job Bikes subsidy
Sustainability Focus
- Commitment to sustainability
- Environmental and climate protection goals
- 100% green electricity
Team Events
- Social activities
Social Impact
- Charitable organization involvement
Mental Health Support
- Mental well-being support
- Massage therapist
- Life Situation Coaching
Retirement Plans
- Company pension scheme
Ergonomic Workplace
- Barrier-free office
Modern Office
- Office in the heart of Berlin
- Napping room
Startup Environment
- Innovative office concept award
- Rooftop terrace
Healthcare & Fitness
- On-site gym
- Gym courses
- Regular health check-ups
Snacks & Drinks
- Organic coffee
Free or Subsidized Food
- Cafeteria
Modern Equipment
- Latest technical tools
- Latest hardware
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Senior MLOps / LLMOps Engineer(m/w/x)
Building scalable ML and LLM systems, operating self-hosted models, and shaping AI platforms for real estate tech. Strong MLOps, Python, and production system experience required. Hybrid work, 30 days vacation, and work-from-abroad option.
Requirements
- Strong MLOps experience (CI/CD, Docker, Kubernetes)
- Operating production-grade systems
- Proficiency in Python
- Solid software engineering skills
- Scalable system design skills
- Hands-on LLMs experience
- Hands-on 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
Tasks
- 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 for standardization
- Develop evaluation frameworks for quality, performance, reliability
- Design MCP-compatible services for context exchange
- Integrate MCP into internal platforms
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- MLOps
- CI/CD
- Docker
- Kubernetes
- Python
- LLMs
- GPT
- Gemini
- Anthropic
- AWS
- GCP
Benefits
Flexible Working
- Hybrid work model
- Work from abroad option
More Vacation Days
- 30 days of vacation
Other Benefits
- Visa process support
- Plus membership for tenants
- Structured feedback
- Diversity, Equity & Inclusion (DEI)
Additional Allowances
- Relocation package
Learning & Development
- Dedicated learning time
- Online courses
- Lunch & Learn events
Diverse Work
- Book challenges
- Diversity theme weeks
Career Advancement
- Individual career paths
Family Support
- Family service
Childcare
- Emergency childcare
Informal Culture
- Bring your dog to work
Public Transport Subsidies
- Public transport subsidy
Company Bike
- Job Bikes subsidy
Sustainability Focus
- Commitment to sustainability
- Environmental and climate protection goals
- 100% green electricity
Team Events
- Social activities
Social Impact
- Charitable organization involvement
Mental Health Support
- Mental well-being support
- Massage therapist
- Life Situation Coaching
Retirement Plans
- Company pension scheme
Ergonomic Workplace
- Barrier-free office
Modern Office
- Office in the heart of Berlin
- Napping room
Startup Environment
- Innovative office concept award
- Rooftop terrace
Healthcare & Fitness
- On-site gym
- Gym courses
- Regular health check-ups
Snacks & Drinks
- Organic coffee
Free or Subsidized Food
- Cafeteria
Modern Equipment
- Latest technical tools
- Latest hardware
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Scout24
Industry
RealEstate
Description
Scout24 betreibt mit ImmoScout24 den führenden Online-Marktplatz für Immobilien in Deutschland und Österreich und revolutioniert seit über 25 Jahren den Markt. Das Unternehmen baut ein digitales Ökosystem auf, das Hausbesitzende, Suchende und Makler zusammenbringt.
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