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Junior AI Solution Delivery Engineer(m/w/x)
Technical support for AI infrastructure projects, assisting with model development and MLOps practices on HPC and hybrid clouds at an AI infrastructure provider in Austria. MSc. in Computer Science, Data Science, or AI required. Exposure to cutting-edge AI infrastructure and MLOps practices.
Requirements
- Assistance in operating CI/CD, orchestration, monitoring systems on HPC/hybrid clouds
- Application of trustworthy AI practices (bias, privacy, security checks)
- Cooperation with partners for training development
- Completed MSc. in Computer Science, Data Science, AI, or related field
- Knowledge of Python, ML frameworks, cloud/HPC environments
- Initial practical experience in MLOps (Docker/Kubernetes, GitOps, MLflow/Kubeflow)
- Experience with HPC schedulers (SLURM) and hybrid cloud architectures
- Enthusiasm for building reliable, scalable, trustworthy AI systems
- Self-driven, structured, eagerness to learn and collaborate
- Excellent English language skills, German advantageous
- Eligibility for working in Austria
Tasks
- Provide end-to-end technical support for partner projects.
- Support implementing the service catalog for AI infrastructure.
- Support implementing the service catalog for model development.
- Support implementing the service catalog for data pipelines.
- Support implementing the service catalog for evaluation.
- Support implementing the service catalog for MLOps.
- Support implementing the service catalog for trustworthy AI.
- Develop reference workflows for LLM fine-tuning.
- Develop reference workflows for RAG pipelines.
- Develop reference workflows for AI agents.
- Develop reference workflows for MLOps templates.
Education
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- CI/CD
- HPC
- hybrid clouds
- AI
- Python
- ML frameworks
- cloud
- MLOps
- Docker
- Kubernetes
- GitOps
- MLflow
- Kubeflow
- SLURM
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Junior AI Solution Delivery Engineer(m/w/x)
Technical support for AI infrastructure projects, assisting with model development and MLOps practices on HPC and hybrid clouds at an AI infrastructure provider in Austria. MSc. in Computer Science, Data Science, or AI required. Exposure to cutting-edge AI infrastructure and MLOps practices.
Requirements
- Assistance in operating CI/CD, orchestration, monitoring systems on HPC/hybrid clouds
- Application of trustworthy AI practices (bias, privacy, security checks)
- Cooperation with partners for training development
- Completed MSc. in Computer Science, Data Science, AI, or related field
- Knowledge of Python, ML frameworks, cloud/HPC environments
- Initial practical experience in MLOps (Docker/Kubernetes, GitOps, MLflow/Kubeflow)
- Experience with HPC schedulers (SLURM) and hybrid cloud architectures
- Enthusiasm for building reliable, scalable, trustworthy AI systems
- Self-driven, structured, eagerness to learn and collaborate
- Excellent English language skills, German advantageous
- Eligibility for working in Austria
Tasks
- Provide end-to-end technical support for partner projects.
- Support implementing the service catalog for AI infrastructure.
- Support implementing the service catalog for model development.
- Support implementing the service catalog for data pipelines.
- Support implementing the service catalog for evaluation.
- Support implementing the service catalog for MLOps.
- Support implementing the service catalog for trustworthy AI.
- Develop reference workflows for LLM fine-tuning.
- Develop reference workflows for RAG pipelines.
- Develop reference workflows for AI agents.
- Develop reference workflows for MLOps templates.
Education
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- CI/CD
- HPC
- hybrid clouds
- AI
- Python
- ML frameworks
- cloud
- MLOps
- Docker
- Kubernetes
- GitOps
- MLflow
- Kubeflow
- SLURM
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
AI:AT – the AI Factory Austria
Industry
IT
Description
The company is making Austria a hotspot for Artificial Intelligence in Europe, providing access to cutting-edge AI infrastructure.
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