
Government • Enterprise • Software
Clariti is a provider of community development solutions, offering permitting software tailored to governments of all sizes. Their range of products includes solutions for large governments with complex requirements as well as smaller municipalities in need of quick and easy-to-manage systems. Clariti's products are designed with flexibility, allowing users to customize and adjust without deep IT knowledge. They emphasize functionality and support, ensuring that local governments can efficiently serve their communities. Clariti's clientele includes leading governments across North America, demonstrating their capability to deliver robust and reliable permitting systems.
51 - 200 employees
🏛️ Government
🏢 Enterprise
November 6

Government • Enterprise • Software
Clariti is a provider of community development solutions, offering permitting software tailored to governments of all sizes. Their range of products includes solutions for large governments with complex requirements as well as smaller municipalities in need of quick and easy-to-manage systems. Clariti's products are designed with flexibility, allowing users to customize and adjust without deep IT knowledge. They emphasize functionality and support, ensuring that local governments can efficiently serve their communities. Clariti's clientele includes leading governments across North America, demonstrating their capability to deliver robust and reliable permitting systems.
51 - 200 employees
🏛️ Government
🏢 Enterprise
• Design and maintain end-to-end ML pipelines for training, evaluation, and deployment of models • Build and optimize infrastructure for distributed training and model serving • Develop tools for data creation, model versioning, and automated retraining • Collaborate with AI researchers and ML engineers to productionize POCs • Implement CI/CD best practices for ML systems • Monitor and manage model health, performance, drift, and data quality in production • Partner with Engineering teams to streamline infrastructure provisioning • Drive cost optimization and performance tuning for large-scale model training
• 6–10+ years of experience in software or ML engineering • Solid experience working with Python, C, C++, Bash • Proven experience deploying and managing ML models in production • Proficiency with Docker and Kubernetes • Experience with cloud platforms (AWS, GCP, or Azure) • Hands-on knowledge of CI/CD pipelines (GitHub Actions, Jenkins, or similar) • Solid understanding of data versioning, model reproducibility, and monitoring strategies • Excellent problem-solving skills and a collaborative mindset
• Competitive compensation packages • Well-deserved time off • Benefits to keep you and your family healthy
Apply NowNovember 6
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