mit Hauptsitz in Landshut. ML Ops Engineer (m/w/d) Dienstort Landshut – bis A13 / bis EGr. 11 TV-L Ihr Einsatzbereich Wir setzen auf Innovation und Fortschritt im Bereich der Digitalisierung und der Künstlichen Intelligenz

in model compression, alignment, and fine-tuning of small GenAI and ML models. • Skilled in building evaluation suites and performing statistical analysis of model behaviour. • Practical knowledge of edge device constraints

in model compression, alignment, and fine-tuning of small GenAI and ML models. • Skilled in building evaluation suites and performing statistical analysis of model behaviour. • Practical knowledge of edge device constraints

GenAI and ML models.Skilled in building evaluation suites and performing statistical analysis of model behaviour.Practical knowledge of edge device constraints such as RAM, bandwidth, cache, and cold start.Professional English

in model compression, alignment, and fine-tuning of small GenAI and ML models. • Skilled in building evaluation suites and performing statistical analysis of model behaviour. • Practical knowledge of edge device constraints

in der Lage, unseren Mitarbeitern einen sicheren Arbeitsplatz zu bieten. • Du entwickelst und betreibst kundenzentrierte Daten- und Feature-Modelle als Grundlage für ML-, CRM- und Analytics-Anwendungen im Deichmann-Konzern

& ML models to serve delightful use cases. • Solid Python and Java/Kotlin experience. • You know how to debug ambiguous GenAI failures and improve behavior through iteration. • You are hands-on with a bias for action

experiencein application engineering with a track record of delivering for alarge customer base.Strong engineering experienceintegrating GenAI & ML models to serve delightful usecases.Solid Python and Java/Kotlinexperience.You know

related field.At least five years of proven experience in application engineering with a track record of delivering for a large customer base.Strong engineering experience integrating GenAI & ML models to serve delightful use