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 ...