Forward Deployed AI Engineer, Customer Adoption and Innovation
Tasks
- Capture customer feedback for product roadmap
- Capture lessons learned for field adoption
- Communicate with technical and business stakeholders
- Deploy and optimize AI inference solutions
- Develop reference architectures and validated patterns
- Enable field teams with reusable assets
- Lead lighthouse implementations
- Optimize OpenShift environments for AI workloads
- Provide inference sizing configuration and resource management
- Translate technical metrics into business value
Perks/Benefits
Skills/Tech-stack
Container Resource Quotas | Generative AI | Inference Optimization | KServe | Knowledge Distillation | Kubernetes | LLM | LLM Inference | Latency | Linux | LoRA | Networking | OpenShift | Operator Lifecycle | Python | QLoRA | Quantization | Resource Management | Resource Quotas | System Performance | Throughput | VLLM
Education
N/A
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