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Scout24

Senior MLOps / LLMOps Engineer (m/f/d)

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about 5 hours ago
Berlin, GermanySenior

Responsibilities

  • Design and maintain scalable ML/LLM infrastructure and pipelines.
  • Productionize traditional ML and generative AI solutions with cross-functional product teams.
  • Own the ML/LLMOps lifecycle: prompting, deployment, monitoring, evaluation, and optimization.
  • Build and evolve an LLM Gateway service to standardize access, routing, and governance.
  • Develop evaluation frameworks to measure quality, performance, and reliability of LLM outputs.
  • Design and implement MCP-compatible services for standardized context exchange.
  • Integrate MCP into internal platforms to support tool use and workflows.
  • Work with AWS and integrate self-hosted open-source AI models.
  • Ensure observability, cost efficiency, and system performance.
  • Contribute to project management, stakeholder communication, and cross-team collaboration.

Requirements

  • Strong experience in MLOps (CI/CD, Docker, Kubernetes) and operating production-grade systems.
  • Proficiency in Python and solid software engineering and scalable system design skills.
  • Hands-on experience with LLMs and generative AI technologies (e.g., GPT, Gemini, Anthropic-like models).
  • Expertise in prompt engineering, agent orchestration, context management, and output validation.
  • Experience with LLM evaluation frameworks and deploying self-hosted LLMs.
  • Familiarity with cloud platforms (e.g., AWS, GCP) as well as DevOps, testing, and observability practices.
  • Strong communication skills and ability to collaborate with cross-functional teams and stakeholders.

Benefits

  • Competitive salary package and a bonus.
  • Hybrid work model with three days on-site and 30 days of vacation per year.
  • Possibility to work from abroad for 10 days per year.
  • Relocation support with visa process and attractive package.
  • Access to plus membership for tenants on ImmoScout24.
  • Dedicated learning time, online courses, and structured feedback.
  • Professional family service for childcare support.
  • Bring your dog to work policy.
  • Subsidized public transport or Job Bikes.
  • Commitment to sustainability and diversity initiatives.
  • Company pension scheme with attractive subsidy.
  • Innovative office environment with various amenities.

Tech Stack

AWSDockerGoogle Cloud PlatformKubernetesPython

Categories

AI & MLData EngineeringDevOps