Staff Machine Learning Engineer

Beschreibung

Job Zusammenfassung In dieser Position entwickelst du robuste KI-Systeme, kümmerst dich um deren Architektur und Zuverlässigkeit, übersetzt Forschungsansätze in Produktionssysteme und mentorst andere Ingenieure. Job Zusammenfassung In dieser Position entwickelst du robuste KI-Systeme, kümmerst dich um deren Architektur und Zuverlässigkeit, übersetzt Forschungsansätze in Produktionssysteme und mentorst andere Ingenieure. Deine Rolle im Team As Staff Machine Learning Engineer, you will shape and ship production-grade AI systems at the intersection of machine learning, large language models, and agentic workflows. Build production-grade AI systems: Design, develop, and deploy robust ML- and LLM-based systems that create measurable value in business-critical automation use cases. Drive architecture and technical direction: Shape how we build advanced AI systems across LLM orchestration, agentic workflows, RAG, and knowledge-grounded architectures. Own evaluation and reliability: Establish strong evaluation frameworks, monitoring, and guardrails to ensure consistent performance, grounded behavior, and high system reliability. Translate research into impact: Bring advanced methods into real-world production systems and help move ideas from experimentation to scalable deployment. Provide technical leadership: Mentor engineers, guide cross-functional initiatives, and help raise the bar for technical quality, best practices, and execution across the team. Unsere Erwartungen an dich Qualifikationen LLM and agentic systems expertise: You have worked hands-on with large language models, RAG, orchestration frameworks, evaluation, and modern agentic system design. Research-minded background: You work in a systematic, analytical, and hypothesis-driven way. A PhD, publications, patents, or a strong R&D background are a strong plus. Technical leadership: You have driven architecture decisions, influenced technical strategy, and ideally supported or led other engineers through mentorship or team guidance. Strong engineering fundamentals: You are highly proficient in Python and modern ML tooling, and you write clean, maintainable, production-ready code. Production ownership: You are comfortable with deployment, CI/CD, monitoring, reproducibility, and the operational lifecycle of AI systems beyond initial model development. Erfahrung Deep AI/ML experience: You bring substantial experience building and deploying advanced AI systems in production, ideally across multiple years and with increasing scope and ownership. Unser Angebot Real ownership: You will directly shape core AI systems and technical decisions at a critical stage of our growth. Meaningful impact: You will work on AI systems that need to perform reliably in real customer environments. Strong technical ambition: We care deeply about quality, pragmatism, and building AI that works in production. High-growth environment: You will join a fast-moving, well-funded company with strong momentum and the opportunity to help define our AI engineering standard. Themen mit denen du dich im Job beschäftigst Machine Learning AI Metadaten Level: Senior Job Feld: Software, Data Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Onsite Unternehmenstyp: Startup Branche: Internet, IT, Telekom Ort: Köln | Deutschland

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