Senior MLOps Engineer — Hybrid: Scale Real-Time ML

Talent; Chicago (IL); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Talent, a fintech leader, is seeking a Senior MLOps Engineer to join its growing ML team in a hybrid role (3 days onsite). You'll build and scale cloud-native MLOps infrastructure that enables data scientists to deploy real-time models into production, working with data science, engineering, and product teams.

Ideal candidates have 5+ years in MLOps/ML engineering, hands-on AWS, Docker, Kubernetes, CI/CD, and experience with MLflow or Kubeflow.

Tools

AWS

Docker

Kubernetes

CI/CD

MLflow

Kubeflow

Spark

Hadoop/Cloudera

Scala/Java

Job description

Talent, a fintech leader, is seeking a Senior MLOps Engineer to join its growing ML team in a hybrid role (3 days onsite). You'll build and scale cloud-native MLOps infrastructure that enables data scientists to deploy real-time models into production, working with data science, engineering, and product teams.

Ideal candidates have 5+ years in MLOps/ML engineering, hands-on AWS, Docker, Kubernetes, CI/CD, and experience with MLflow or Kubeflow.