Applied AI Engineer II
Core
Design, build, and maintain AI systems hosting ML models and tools/APIs to reliably complete multi-step workflows with live-site responsibility.
Role type
Senior Applied AI Engineer (MLOps/Production)
Builds
Large-scale ML/AI-based services and applications on cloud platforms
Domain
Cloud infrastructure, Machine Learning, AI Systems
Deliverable
production ML models
Required skills
MLOps, AIOps, Python, C#, PyTorch, model deployment, monitoring, drift detection, CI/CD integration, log analysis, data inspection, model evaluation, cost optimization, latency optimization
Preferred skills
Experience with human-in-the-loop reviews, automated evaluation harnesses, token usage optimization, model selection/routing, batching
Technologies
Azure, AWS, GCP, PyTorch, Python, C#
Responsibilities
Define success criteria and build evaluation datasets; debug AI behavior using traces and logs; optimize runtime performance and economics; partner with stakeholders to define use cases and rollout plans
Seniority
Senior, hands-on IC