2 beste Stellen als deployed engineer, genai, google cloud – aktuell auf Personalsuche

MLOps & AI Infrastructure Engineer (f/m/d)
NXAI —Linz, OÖ
- Vollzeit
- Master
19 Std.
SAP Solution Architect (m/w/d) - Schwerpunkt BTP
Public Cloud Group —Österreich
- Vollzeit

Related jobs to explore

Based on your search for deployed engineer, genai, google cloud

Datacenter Engineer
mann&mouse IT Services GmbH —Wels, OÖ
Mehrjährige Erfahrung im Bereich Datacenter- und Infrastruktur Lösungen. Zugehörige Herstellerzertifizierungen bringst Du im Idealfall mit.
Go To Market (GTM) Engineer - Wien - €90.000,00 OTE (m/w/d)
chatarmin.com GmbH —Wien, W
Und bekommst neben Fixgehalt auch Provision pro stattgefundenem Call, uncapped upside. ARR und wollen Ende des Jahres auf 10 Mio. skalieren.
Direkt bewerben

Ich möchte aktuelle Job-E-Mails für Stellen als deployed engineer, genai, google cloud erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

deployed engineer, genai, google cloud jobs near

Jobs als Architekt Kultur in Wien

Jobs als Innenarchitekt, Architekt, Zeichner, Designer in Kärnten

Jobs als Architekt in Steiermark

Jobs als Innenarchitekt, Architekt in Tirol

Jobs als Test Automation Engineer in Wien

MLOps & AI Infrastructure Engineer (f/m/d)

NXAI
Linz, OÖ

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 19 Stunden

Qualifikationen

Master

Vollständige Stellenbeschreibung

Based in Linz, Austria, NXAI is a leading center for European AI innovation, turning advanced research into real-world industrial applications. Focused on next-generation xLSTM architectures, we offer companies a sovereign, on-premise alternative to US hyperscalers. A prime example is our zero-shot time series foundation model, TiRex, which delivers industrial enterprises a true technological edge - operating up to 50× more efficiently than traditional transformer models.

At NXAI, we're always excited to meet forward-thinking minds eager to shape the future of AI. As we expand our capabilities and deploy models at massive scale, we are looking for an MLOps Engineer (f/m/d) to design, scale and orchestrate the high-performance GPU clusters powering the next generation of AI.

In this role, you will shape the future of NXAI's AI infrastructure by:

Scaling AI Architecture: Designing, operating and automating our high-performance infrastructure across cloud, HPC and on-premise environments.
Empowering Research: Collaborating with Research and Applied Research teams to translate cutting-edge AI models into scalable, production-ready systems.
Optimizing GPU Clusters: Managing and fine-tuning large-scale GPU compute, storage and networking resources for intensive workloads.
Driving MLOps & Orchestration: Building robust machine learning pipelines and managing orchestration platforms using Kubernetes and Slurm.
Ensuring Excellence: Implementing modern CI/CD workflows and maintaining the highest standards for system reliability, security, and observability.

What We Ask

A hands-on problem solver passionate about building resilient systems that accelerate AI deployment.
Deep experience with Linux-based production environments, distributed systems, and containerization (Docker/Podman).
Proven track record with workload schedulers (Slurm), Kubernetes, CI/CD pipelines (e.g., GitHub Actions) and Python scripting.
Hands-on expertise with GPU computing environments, storage optimization and building/monitoring MLOps pipelines.
Bonus Points: Experience with modern AI frameworks (like PyTorch) and supporting large-scale model training environments.

What You’ll Get:

The Mission & Impact:

Shape the Future of AI: The chance to contribute to technology that has the potential to redefine how AI systems are built, trained and deployed.
Challenging the Status Quo: Work directly with leading AI researchers, including the creators of xLSTM, on technologies that challenge the current transformer paradigm.
A Key Position: A central role in enabling foundation model research, industrial AI applications and efficient AI systems that can run from cloud-scale infrastructure down to edge devices.
Ownership & Autonomy: Significant ownership, autonomy and the ability to shape our infrastructure, tooling and engineering culture within a highly talented, research-driven team.

Our Core Benefits:

Flexibility: Remote and hybrid work options tailored to your lifestyle.
Mobility Support: We fully cover either your Klimaticket (public transport) or your parking spot.
Relocation Support: Moving to Austria? We will support you through the entire relocation and visa process to make your transition as smooth as possible.
Growth & Culture: Access to international tech conferences, regular team events and our weekly onsite team lunch to stay connected.

Compensation:

Competitive Salary: A market-aligned salary package tailored to your experience. The starting salary for this position is €4,611 gross per month (paid 14 times per year). Depending on your specific profile, technical skills and development potential, a significant overpayment is of course possible.
Financial Upside (VSOP): Participation in our Virtual Stock Option Plan (VSOP) – because we want you to truly own a piece of the future you are building.

Jetzt bewerben

Erweiterte Suche

deployed engineer, genai, google cloud Jobs

MLOps & AI Infrastructure Engineer (f/m/d)

SAP Solution Architect (m/w/d) - Schwerpunkt BTP

Related jobs to explore

Ich möchte aktuelle Job-E-Mails für Stellen als deployed engineer, genai, google cloud erhalten

Related Searches

Weitere Job-Standorte erkunden

In this role, you will shape the future of NXAI's AI infrastructure by:

What We Ask

What You’ll Get:

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt