Job
- Level
- Senior
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 53.802 € Brutto/Jahr
- Ort
- Graz, Innsbruck, Wien, Hamburg, Kiel
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Position gestaltest du skalierbare AI/ML-Plattformen, automatisierst MLOps-Workflows und optimierst GPU-Umgebungen. Zudem entwickelst du APIs, betreibst LLM-Pre-Training und stellst Sicherheit sowie Compliance sicher.
Job Technologien
Deine Rolle im Team
- Design and operate scalable AI/ML platforms, including training, inference, pipelines, and feature stores.
- Automate MLOps workflows (deployment, orchestration, CI/CD, monitoring, observability).
- Optimize GPU/accelerated environments for high-performance model workloads.
- Build reusable services, APIs, and tooling to boost engineering and data science productivity.
- Ensure security, compliance, governance, and Responsible AI across the full model lifecycle.
- Evaluate and adopt emerging AI technologies to continuously improve the platform.
- Collaborate with cross-functional teams to deliver reliable, scalable AI products.
- Improve cost efficiency and performance of training, experimentation, and inference.
- Perform LLM pre-training, fine-tuning, and evaluation to ensure quality and reliability.
- Design strong prompts, guardrails, and safety filters for secure LLM operation.
- Develop and maintain RAG capabilities for enterprise knowledge access.
- Build AI agents augmented with tools and internal system integrations.
Unsere Erwartungen an dich
Qualifikationen
- Hands-on expertise with AI/ML tooling and orchestration (e.g., Databricks, Azure ML, MLflow, VertexAI, Kubeflow, Airflow).
- Strong software engineering background in Python (and ideally Java/Go).
- Deep knowledge of cloud native architectures (Azure / AWS / GCP), including containerisation (Docker, Kubernetes) and Infrastructure-as-Code.
- Familiarity with monitoring and managing production models (drift detection, lineage, model registry, A/B testing).
- Solid understanding of data architecture + integration with data platforms.
- Strong communication skills, able to partner with cross-functional teams and translate platform needs into technical solutions.
- Fluency in English (additional regional languages a plus).
Erfahrung
- 5+ years of experience in Machine Learning Engineering, AI Platform Engineering, or MLOps.
- Experience building reliable services/APIs.
- Experience with GPU/accelerated infrastructure, model optimization, and high-performance workloads.
Benefits
Gesundheit, Fitness & Fun
Essen & Trinken
Job Standorte
Themen mit denen du dich im Job beschäftigst
Das ist dein Arbeitgeber
Cloudflight GmbH
Wien, Linz, Hagenberg Im Mühlkreis
Die Cloudflug GmbH verbindet Code und Kreativität. Gemeinsam mit den Kunden entwerfen und entwickeln wir maßgeschneiderte, individuelle Lösungen, Produkte und Plattformen. Mit mehr als 400 digitaler Strategieexperten, erfahrenen Softwarearchitekten, führenden Data Scientists und Cloud-Ingineuren an 17 Standort rund um den Globus sind wir in der Lage die bestmöglichen Lösungswege zu finden.
Description
- Unternehmensgröße
- 250+ Employees
- Gründungsjahr
- 2005
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Beratung, Internet, IT, Telekom
Dev Reviews
by devworkplaces.com
Gesamt
(1 Bewertung)3.8
Culture
3.7Workingconditions
4.2Engineering
3.7Career Growth
3.8
AI Engineer Agentic Plattform
- Gehalt
- ab 53.802 € Brutto/Jahr
- Ort
- Graz, Innsbruck, Wien, Hamburg, Kiel
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
