Inference Specialist
Deep serving expertise, backed by real infrastructure depth.
This is a blend, not a single cycle. The specialist profile that emerges when inference engineering is stacked on a genuinely strong cloud/DevOps foundation — someone who owns serving performance and cost as a discipline, not a side task.
Who it's for
Engineers who have completed Inference Engineering plus a strong Cloud/DevOps foundation.
Built from these rungs
Inference Engineering
One cycle to a hireable inference/serving role.
Model serving, latency and throughput optimization, GPU-aware deployment, and inference cost control. This is the rung between 'a model exists' and 'a model serves traffic reliably and cheaply.'
Cloud / DevOps
The infrastructure rung that makes everything above it deployable.
One 90-day cycle covering cloud fundamentals (AWS/Azure), containers, CI/CD, and observability. This rung is what turns 'it runs on my machine' into 'it runs in production.'
What proof looks like
At this level, proof means a coherent portfolio across rungs, not one isolated project.
- Multiple documented latency/cost optimizations across different model types or workloads
- Infrastructure you built and operate for inference, with monitoring and alerting
- A case study comparing tradeoffs between at least two serving approaches you actually tested