Job description
Job details
- Location: Berlin, Deutschland
- Work mode: Onsite
- Employment type: Full-time (Not an internship)
- Salary: Salary details are available in the employer description.
Role overview
BWI GmbH in Berlin seeks a Senior AI Platform Engineer to build and optimize Kubernetes-based AI infrastructure. You'll design GPU-enabled cloud clusters, implement security policies, and scale ML workloads for enterprise AI adoption.
Job details
This full-time, onsite role in Berlin focuses on creating AI services for internal teams. No salary details provided. Requires 4+ years of experience with Kubernetes, AI/ML platforms, and cloud security.
Responsibilities
- Design and operate Kubernetes clusters with GPU support for AI/ML workloads
- Optimize cluster resources through scheduling, GPU management, and auto-scaling
- Implement security policies for AI platform infrastructure
- Develop monitoring solutions for ML performance and resource utilization
Requirements
- 4+ years of experience with Kubernetes and cloud platforms
- Expertise in AI/ML infrastructure optimization and GPU resource management
- Strong understanding of cloud security and compliance frameworks
- Proven ability to scale machine learning workloads
Benefits
- Competitive compensation package
- Professional development budget
- Modern tech stack and tools
- Collaborative Berlin tech environment
Keywords
KubernetesAIGPUCloud EngineeringML WorkloadsSecurity PoliciesScalabilityKubernetes ClustersAI InfrastructureCloud Security