{"id":1183452,"url":"https://alion.io/job/knapp-aiml-ops-engineer-mwd","title":"AI/ML Ops Engineer (m/w/d)","company":{"id":54754,"name":"KNAPP","domain":"knapp.com","url":"https://alion.io/company/knapp","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Graz, Austria"],"countries":["AT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":55000,"max_usd":130000,"period":"year","method":"role_country_seniority_unknown","sample_n":11},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false}],"status":"live","first_seen_at":"2026-09-15T02:00:00Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-10-06T18:54:21Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"#yourmission\nDu entwickelst und pflegst CI/CD-Pipelines für KI-Modelle, Datenverarbeitung und Software-Releases. \nDu baust skalierbare ML-Lifecycle-Workflows auf und betreibst diese, von Training und Versionierung bis hin zu Tests und Monitoring. \nDu automatisierst Deployments auf Produktionssysteme mithilfe moderner MLOps-Frameworks. \nDu konzipierst, implementierst und betreibst effiziente Datenpipelines für Trainingsdaten, Logs und Performance-Metriken. \nDu unterstützt die Sicherstellung der Datenqualität sowie Modell-Retraining-Prozesse, ohne dabei den Schwerpunkt auf die Modellentwicklung zu legen. \nDu stellst einen robusten, sicheren und hochverfügbaren Betrieb produktiver KI-Services sicher. \nDu überwachst die Modell-Performance, Systemauslastung, Latenzzeiten und Zuverlässigkeit der KI-Systeme. \nDu implementierst Monitoring-Tools, Alarmierungen und Dashboards zur Überwachung und Steuerung von KI-Systemen. \nDu führst Root-Cause-Analysen bei Ausfällen, Performance-Einbrüchen oder Datenanomalien durch und leitest geeignete Maßnahmen ab.\n#youareknapp\nDu verfügst über Erfahrung in den Bereichen DevOps, Cloud Engineering, ML Ops oder AI-Infrastruktur. \nDu bringst Erfahrung in der Modelloptimierung sowie mit verschiedenen Deployment-Formaten mit. \nDu besitzt fundierte Kenntnisse in Cloud-Umgebungen wie Azure, AWS oder GCP sowie in hybriden Architekturen. \nDu überzeugst durch analytisches Denkvermögen und arbeitest gerne in einem dynamischen und kollaborativen Umfeld. \nDu verantwortest Schulungen und Trainings in deinem jeweiligen Fachgebiet und teilst dein Wissen zielgruppengerecht mit Kolleg:innen und Stakeholdern\n#weareknapp\nWir bieten dir fachliche und persönliche Weiterbildungsprogramme sowie die Mitarbeit in einem motivierten Team, in dem die Bereitschaft Verantwortung zu übernehmen und die Begeisterung für die Umsetzung von Ideen willkommen sind. Für diese Position gilt ein Mindestgehalt von EUR brutto 3.415,01 pro Monat. 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