This role pays less than
83%
of similar roles. Most pay
$145,175–$213,250
— the shaded band above.
At the midpoint, this role pays about
$134k
versus about
$179k
for comparable roles.
Based on 240 similar postings.
Employer
About Citi
Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.
Citi currently has
391 open roles
on FindRole.
Listed pay typically runs
$125,760–$188,640
across 361 roles with salary data.
As an experienced MLOps Engineer joining our DevOps and Infrastructure Engineering team, you will play a pivotal role in operationalizing, scaling, and maintaining AI/ML applications by designing robust ML pipelines, implementing CI/CD for machine learning workflows, and utilizing tools like MLflow for experiment tracking and Ray Tune for hyperparameter optimization. Your day-to-day responsibilities include automating model deployment on Kubernetes clusters, integrating with data platforms such as Apache Iceberg and Spark, and ensuring comprehensive monitoring using Prometheus and Grafana. Proficiency in Python is essential, along with hands-on experience in containerization, orchestration, and cloud-native infrastructure management. This role requires a deep understanding of MLOps tooling, CI/CD practices, and familiarity with databases like PostgreSQL and MongoDB, as well as real-time data streaming technologies such as Kafka.