Location
San Diego
Job Type
Full-time
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 ...