Senior customer facing position for Industrial AI Cloud, guiding enterprise customers through onboarding, training, and early adoption of the AI platform.
Requirements
- 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 selfhosted LLMs, including model finetuning and inference optimization.
- Handson 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 (Python, Bash) for automation, data manipulation, and tooling.
- Experience with Infrastructure as Code (Ansible, Terraform, Helm).
- Knowledge of SoftwareDefined Networking (SDN) and highperformance network architectures.
- Experience with monitoring and visualization tools (Prometheus, Grafana, Alert manager).
- Experience working with Data Engineering/Transformation/Migration tools and pipelines.
- 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.
Benefits
- Financial benefits
- Benefits with focus on learning and development
- Benefits with focus on health and sport
- Benefits with focus on family and work – life balance
- Other benefits