Location
San Diego, CA, United States
Posted
July 08, 2026
Job Description
We are seeking an MLOps Engineer to build, deploy, and optimize machine learning infrastructure that supports scalable, secure, and production-ready AI solutions in cloud environments.
Type: Contract-to-Hire (6-month initial engagement)
Pay: $70-75 hr/w2
Location: San Diego, CA (Hybrid)
IMPORTANT: Must be local to San Diego, CA
Note: Unable to support f1, stem, h1b, c2c at this time.
Top Skills:
+ AWS MLOps (SageMaker, Lambda, Step Functions, S3)
+ Python
+ CI/CD Pipelines for Machine Learning Systems
+ Production Machine Learning Deployments
+ Model Monitoring, Observability, and Optimization
Responsibilities:
+ Design, build, and maintain scalable machine learning pipelines supporting model training, deployment, and inference
+ Develop and manage CI/CD pipelines for machine learning systems and deployment workflows
+ Build Python-based tools and automation supporting ML operations and ...
Type: Contract-to-Hire (6-month initial engagement)
Pay: $70-75 hr/w2
Location: San Diego, CA (Hybrid)
IMPORTANT: Must be local to San Diego, CA
Note: Unable to support f1, stem, h1b, c2c at this time.
Top Skills:
+ AWS MLOps (SageMaker, Lambda, Step Functions, S3)
+ Python
+ CI/CD Pipelines for Machine Learning Systems
+ Production Machine Learning Deployments
+ Model Monitoring, Observability, and Optimization
Responsibilities:
+ Design, build, and maintain scalable machine learning pipelines supporting model training, deployment, and inference
+ Develop and manage CI/CD pipelines for machine learning systems and deployment workflows
+ Build Python-based tools and automation supporting ML operations and ...