Senior MLOps Engineer
Core
Design, build, and scale ML infrastructure and pipelines to productionize AI models and agentic workflows for government plan review and building code compliance.
Role type
Senior MLOps Engineer
Builds
Robust ML infrastructure, end-to-end ML pipelines, and automated retraining systems for CivCheck and Clariti's AI platform.
Domain
Government technology / AI infrastructure / Cloud computing
Deliverable
production ML models
Required skills
Python, C/C++, Bash, Docker, Kubernetes, AWS/GCP/Azure, CI/CD, MLflow, experiment tracking, data versioning, model monitoring
Preferred skills
Model training from scratch, model optimization (quantization, distillation), infrastructure-as-code, distributed systems, open-source contributions
Responsibilities
Design and maintain end-to-end ML pipelines; Build and optimize infrastructure for training and model serving; Develop tools for data pipelines and experiment tracking; Collaborate with researchers to productionize POCs; Implement CI/CD best practices; Monitor model health and drift; Drive cost optimization for large-scale training.
Seniority
Senior, hands-on IC