MLOps Engineer — Build, Deploy & Scale Pipelines
jobleadsusSan Jose (CA)
MLOps Engineer — Build, Deploy & Scale Pipelines
Posted today
jobleadsusSan Jose (CA)
SENIORITY
Senior
About the role
TechDigital Group is seeking an experienced MLOps Engineer to design, deploy, and maintain scalable ML systems in production. You will own the full lifecycle of ML pipelines from data ingestion to model serving.
Responsibilities include building data and feature pipelines on Kubeflow and Vertex AI, containerizing models with Docker, implementing CI/CD for ML workflows, and monitoring data quality and experiment tracking in a production environment.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
More like this