Your Profile

We are seeking a DevOps Engineer (Senior) / AI Consultant Customer Facing Engineer with extensive experience in GPU infrastructure, AI/ML platforms, and customer-facing technical consulting. The ideal candidate will have strong expertise in NVIDIA GPU-accelerated platforms, LLM training and deployment, container orchestration, and infrastructure automation, combined with excellent communication skills to guide enterprise customers through AI platform adoption.

Must Have Skills

Master's degree in Information Technology, Computer Engineering, Applied AI, or related field
Strong knowledge of NVIDIA GPU-accelerated platforms (DGX, B200, RTX Pro Servers)
Experience running and training self-hosted LLMs, including model fine-tuning and inference optimization
Hands-on experience with Slurm, Run:AI, or other GPU workload schedulers
Advanced Linux administration skills
Solid understanding of Kubernetes and containerized AI workflows
Proficiency in scripting with Python and Bash for automation, data manipulation, and tooling
Experience with Infrastructure as Code (Ansible, Terraform, Helm)
Knowledge of Software-Defined Networking (SDN) and high-performance network architectures
Experience with monitoring and visualization tools (Prometheus, Grafana, Alert manager)
Experience working with Data Engineering/Transformation/Migration tools and pipelines
English proficiency at C1 level
Strong customer-facing communication skills, both technical and non-technical
Experience with requirement engineering (basic level)
Experience with software testing, quality assurance, and validation (intermediate level)
Analytical mindset and problem-solving skills
Structured approach to troubleshooting
Ability to work independently as well as coordinate with cross-functional teams

Nice to Have Skills

German language proficiency
Understanding of LLM architectures, embeddings, and vector databases
Familiarity with RAG pipelines, model evaluation, and prompt engineering
Knowledge of responsible AI practices (security, governance, compliance)
Experience with AI/ML frameworks: PyTorch, TensorFlow, Hugging Face, Triton Inference Server