NaceAI
As a Senior MLOps Engineer at Nace AI, you will design and operate the end-to-end infrastructure required to train, deploy, and monitor specialized Small Language Models for high-stakes enterprise workflows. This role involves building scalable serving layers, managing multi-GPU clusters, and implementing robust observability and CI/CD pipelines for production-grade AI systems. You will collaborate with research and ML engineering teams to ensure reliability, reproducibility, and auditability in a fast-paced environment.
Headquarters
Palo Alto, California, United States
Company Size
1-10 employees
Founded
2024
Nace.AI builds Sovereign Small Language Models and agents that execute real enterprise processes end-to-end, powered by their proprietary Metamodel technology. Their flagship product, NAVI, enables businesses to own and control their AI intelligence across workflows such as financial audit, loan automation, accounts payable, and claims management. Nace.AI offers flexible deployment options including self-hosted, managed service, and hybrid environments, prioritizing data privacy and operational sovereignty.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for NaceAI.
NaceAI didn’t post a salary, so this is our estimate from similar listings.
7% above the average for this role