Dein persönlicher KI-Karriere-Agent
AI Innovation & Solution Engineer(m/w/x)
Designing and delivering applied AI solutions with LLMs and Generative AI on GPU/HPC systems. Expertise in MLOps and HPC schedulers required. Shaping work within an agile structure.
Anforderungen
- Master’s/PhD degree in Computer Science, Data Science, AI, or related field
- Developing and operationalizing ML/DL solutions (PyTorch, TensorFlow) on GPU/HPC systems
- Large Language Models (LLMs) and Generative AI, including RAG, AI agents, prompt engineering, domain-specific fine-tuning
- MLOps: Docker/Kubernetes, GitOps, MLflow/Kubeflow, observability stacks (Prometheus/Grafana, ELK)
- HPC schedulers (e.g., SLURM) and hybrid cloud architectures
- Responsible-AI-Frameworks and EU-AI-Regulations familiarity
- Expertise in NLP, Computer Vision, time-series Analytics, or Computational Audio Intelligence
- Prototyping, proof-of-concepts, or MVP development in applied context
- Agile and user-centered approaches
- Collaborative, interdisciplinary environments and external partners/stakeholders experience
- German and English language skills
- Eligibility for working in Austria
Aufgaben
- Design and deliver applied AI solutions
- Understand client needs and define project scope
- Develop prototypes, proof-of-concepts, and early MVPs
- Collaborate with interdisciplinary teams
- Contribute to innovation sprints and venture-building activities
- Work with startups, researchers, and domain experts
- Identify AI-driven opportunities
- Translate opportunities into technically feasible concepts
- Ideate, prototype, and validate AI solutions
- Use agile and user-centered innovation approaches
- Develop end-to-end AI applications and technical pipelines
- Apply expertise in applied machine learning and data pipelines
- Develop and optimize AI models
- Mentor and advise teams on AI pipeline design
- Ensure alignment with responsible AI practices
- Design and operate AI workflows
- Train models and implement RAG
- Conduct distributed training in HPC and cloud environments
- Develop hands-on reference workflows
- Support partner projects end-to-end
- Develop and deliver AI training formats
- Conduct workshops and technical tutorials
- Share knowledge with startups and industry partners
- Ensure trustworthy AI practices
- Integrate fairness, privacy, security, and regulatory compliance
- Collaborate with internal and external teams
- Capture insights from projects
- Document technical learnings
- Contribute to continuous improvement of AI services
- Support representation of AI Factory Austria
- Participate in workshops and innovation programs
- Enhance visibility and impact of applied AI initiatives
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Deutsch – fließend
- Englisch – fließend
Tools & Technologien
- PyTorch
- TensorFlow
- Docker
- Kubernetes
- GitOps
- MLflow
- Kubeflow
- Prometheus
- Grafana
- ELK
- SLURM
Benefits
Sonstige Vorteile
- Excellent research and technology foundation
- Dedicated team
- Collaboration with national and international partners
- Promotes equal opportunities
- Actively strengthens diversity
Sinnstiftende Arbeit
- Opportunities for shaping work
Startup-Atmosphäre
- Short decision-making paths
- Open, agile organizational structure
Moderne Technikausstattung
- Access to AI and HPC infrastructure
Familienfreundlichkeit
- Inclusive and family-friendly working environment
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
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AI Innovation & Solution Engineer(m/w/x)
Designing and delivering applied AI solutions with LLMs and Generative AI on GPU/HPC systems. Expertise in MLOps and HPC schedulers required. Shaping work within an agile structure.
Anforderungen
- Master’s/PhD degree in Computer Science, Data Science, AI, or related field
- Developing and operationalizing ML/DL solutions (PyTorch, TensorFlow) on GPU/HPC systems
- Large Language Models (LLMs) and Generative AI, including RAG, AI agents, prompt engineering, domain-specific fine-tuning
- MLOps: Docker/Kubernetes, GitOps, MLflow/Kubeflow, observability stacks (Prometheus/Grafana, ELK)
- HPC schedulers (e.g., SLURM) and hybrid cloud architectures
- Responsible-AI-Frameworks and EU-AI-Regulations familiarity
- Expertise in NLP, Computer Vision, time-series Analytics, or Computational Audio Intelligence
- Prototyping, proof-of-concepts, or MVP development in applied context
- Agile and user-centered approaches
- Collaborative, interdisciplinary environments and external partners/stakeholders experience
- German and English language skills
- Eligibility for working in Austria
Aufgaben
- Design and deliver applied AI solutions
- Understand client needs and define project scope
- Develop prototypes, proof-of-concepts, and early MVPs
- Collaborate with interdisciplinary teams
- Contribute to innovation sprints and venture-building activities
- Work with startups, researchers, and domain experts
- Identify AI-driven opportunities
- Translate opportunities into technically feasible concepts
- Ideate, prototype, and validate AI solutions
- Use agile and user-centered innovation approaches
- Develop end-to-end AI applications and technical pipelines
- Apply expertise in applied machine learning and data pipelines
- Develop and optimize AI models
- Mentor and advise teams on AI pipeline design
- Ensure alignment with responsible AI practices
- Design and operate AI workflows
- Train models and implement RAG
- Conduct distributed training in HPC and cloud environments
- Develop hands-on reference workflows
- Support partner projects end-to-end
- Develop and deliver AI training formats
- Conduct workshops and technical tutorials
- Share knowledge with startups and industry partners
- Ensure trustworthy AI practices
- Integrate fairness, privacy, security, and regulatory compliance
- Collaborate with internal and external teams
- Capture insights from projects
- Document technical learnings
- Contribute to continuous improvement of AI services
- Support representation of AI Factory Austria
- Participate in workshops and innovation programs
- Enhance visibility and impact of applied AI initiatives
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Deutsch – fließend
- Englisch – fließend
Tools & Technologien
- PyTorch
- TensorFlow
- Docker
- Kubernetes
- GitOps
- MLflow
- Kubeflow
- Prometheus
- Grafana
- ELK
- SLURM
Benefits
Sonstige Vorteile
- Excellent research and technology foundation
- Dedicated team
- Collaboration with national and international partners
- Promotes equal opportunities
- Actively strengthens diversity
Sinnstiftende Arbeit
- Opportunities for shaping work
Startup-Atmosphäre
- Short decision-making paths
- Open, agile organizational structure
Moderne Technikausstattung
- Access to AI and HPC infrastructure
Familienfreundlichkeit
- Inclusive and family-friendly working environment
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
AI:AT – the AI Factory Austria
Branche
Research
Beschreibung
AI:AT ist ein Gemeinschaftsprojekt von AIT und Advanced Computing Austria, das Spitzenexpertise in Hochleistungsrechnen, künstlicher Intelligenz und Datenökosystemen bündelt, um eine interdisziplinäre Innovationsumgebung zu schaffen.
Noch nicht perfekt?
- AI:AT – the AI Factory Austria
Full-Stack AI Architect(m/w/x)
Vollzeitnur vor OrtBerufserfahrenWienab 68.152 / Jahr - AI:AT – the AI Factory Austria
Junior AI Solution Delivery Engineer(m/w/x)
Vollzeitnur vor OrtJuniorWienab 55.482 / Jahr - PwC Österreich GmbH Wirtschaftsprüfungsgesellschaft
Senior AI Engineer(m/w/x)
Vollzeitnur vor OrtSeniorWienab 43.400 / Jahr - AI:AT – the AI Factory Austria
AI Solution Architect(m/w/x)
Vollzeitnur vor OrtBerufserfahrenWienab 56.784 / Jahr - AI:AT – die AI Factory Austria
Advisory & Service Delivery Lead(m/w/x)
VollzeitBefristeter Vertragnur vor OrtSeniorWienab 66.598 / Jahr