A technology company in San Francisco is seeking a Staff MLOps Engineer focusing on building and scaling AI infrastructure. You will create and manage CI/CD pipelines, automate model workflows, and ensure governance in AI systems. The ideal candidate has strong experience with scalable infrastructure, CI/CD practices, and LLM deployment. Join us to contribute to meaningful projects that make the world safer through innovative AI solutions.
Qualifications
Experience with CI/CD workflows for model training and deployment.
Strong background in containerization and orchestration.
Ability to work with monitoring and logging frameworks.
Responsibilities
Build reusable CI/CD workflows for model training.
Automate model versioning and compliance checks.
Deploy infrastructure for LLMs and agents support.
Skills
High-quality, maintainable software
Scalable infrastructure
ML Ops best practices
LLM and agent workflows
Creative problem solving
Tools
Python
Docker
Kubernetes
Terraform
Datadog
OpenTelemetry
Job description
A technology company in San Francisco is seeking a Staff MLOps Engineer focusing on building and scaling AI infrastructure. You will create and manage CI/CD pipelines, automate model workflows, and ensure governance in AI systems. The ideal candidate has strong experience with scalable infrastructure, CI/CD practices, and LLM deployment. Join us to contribute to meaningful projects that make the world safer through innovative AI solutions.