Machine Learning Operations Engineer / MLOps AWS Engineer

Looking for experience with AWS, computer vision, Docker, Infrastructure as Code tools such as Terraform or CloudFormation, and ML monitoring or lifecycle management platforms.

Requirements:

Candidates should have a bachelor’s degree in a related technical field or equivalent experience, along with 8+ years of experience in MLOps, machine learning engineering, cloud engineering, DevOps, or data engineering. Hands-on experience with AWS services such as SageMaker, S3, Lambda, Step Functions, and CloudWatch is required, as are strong Python skills and experience supporting machine learning workloads in production environments. Knowledge of CI/CD practices, source control, and cloud operations is also preferred.

Must be local for Hybrid in Dublin, CA.

8+ years of MLOps with AWS experience.

Strong stakeholder communication skills are essential.

Responsibilities:

The successful candidate will be responsible for deploying and supporting machine learning models in production, building and maintaining AWS-based data and inference workflows, implementing CI/CD processes, monitoring model and system performance, troubleshooting production issues, and maintaining operational documentation and runbooks. The role also requires collaboration with cross-functional stakeholders to ensure successful delivery and ongoing support of ML solutions.