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PAParloa

Principal Applied Scientist(m/w/x)

Berlin, München
Full-timeWith Home OfficeSenior

Designing agentic AI systems for enterprise customer experience. 12+ years applied ML/AI production experience required. Focus on LLM/Generative AI, evaluation frameworks, and multi-step workflows.

Requirements

  • 12+ years Applied ML/Science experience, proven ML/AI systems production track record
  • Experience with agent-based systems or multi-step LLM workflows
  • Strong recent LLM and Generative AI production experience
  • Ability to own and drive ambiguous problems end-to-end
  • Deep understanding of evaluation methodologies, benchmarking, model performance analysis, human-in-the-loop
  • Hands-on technical skills for prototyping, experimenting, and shipping solutions
  • Experience working on production systems, balancing speed, quality, scalability
  • Proven technical leadership and influence, mentoring, cross-team initiatives
  • Ability to operate at strategic and execution levels
  • Strong communication skills, influencing technical/non-technical stakeholders
  • Broader impact evidence (published work, open-source, internal initiatives, industry influence) is a plus
  • Familiarity with model routing, fine-tuning, or open-weight models
  • Background in human-in-the-loop evaluation or annotation systems
  • Contributions to public research, blogs, or open-source projects

Tasks

  • Define and lead applied AI initiatives
  • Drive innovation in agentic systems
  • Own ambiguous problem spaces end-to-end
  • Design evaluation and benchmarking frameworks
  • Prototype and validate new approaches
  • Translate research into production-ready solutions
  • Act as a technical authority and mentor
  • Establish and lead the Applied Science guild
  • Influence product and technical strategy
  • Set direction and build foundational practices

Work Experience

  • 12 years

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Machine Learning
  • AI
  • LLMs
  • Generative AI
  • agent-based systems
  • multi-step LLM workflows
  • human-in-the-loop
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Parloa 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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