VP, AI Systems Engineering — Scalable ML for Finance

Citi; Tampa (FL); On-site; USD 114,000 - 171,000; Full time

Job summary

Citi is seeking a Vice President-level ML Systems Engineer to architect, deploy, and maintain scalable backend systems powering advanced ML initiatives in a global finance setting. You will bridge data science with production-grade software, delivering robust pipelines and reliable services.

In this senior role, you will mentor engineers, drive architectural decisions, and ensure compliance while partnering with data scientists and business leaders to operationalize complex models at enterprise

Qualifications

• 6+ years of professional experience implementing data-intensive, large-scale ML solutions.
• Expert-level Python and Jupyter Notebook scripting.
• Experience with ML lifecycle and MLOps.
• Experience with ML frameworks: Scikit-learn, Keras, TensorFlow, PyTorch.
• Experience with ML platforms: MLFlow, Dagster, Vertex AI.
• Experience with relational and NoSQL databases.
• CI/CD and DevOps tooling including Docker and OpenShift.

Responsibilities

• Own ML systems architecture and deployment across the enterprise.
• Lead end-to-end ML pipeline delivery from data prep to production.
• Collaborate with data scientists, software engineering, and business leaders.
• Ensure governance, reliability, and scalable operations for ML workloads.
• Mentor teams and promote technical excellence across global projects.

Skills

Python

Jupyter Notebook

MLOps

ML pipelines

Education

Bachelor's or Master’s in CS/Engineering

Tools

Scikit-learn

Keras

TensorFlow

PyTorch

MLFlow

Dagster

Vertex AI

Oracle

MySQL

PostgreSQL

MongoDB

Docker

OpenShift

Amazon ECS

Kafka

PySpark

Hive

Hadoop

HDFS

Avro

Parquet

Iceberg

FastAPI

Flask

NGINX

Job description

Citi is seeking a Vice President-level ML Systems Engineer to architect, deploy, and maintain scalable backend systems powering advanced ML initiatives in a global finance setting. You will bridge data science with production-grade software, delivering robust pipelines and reliable services.

In this senior role, you will mentor engineers, drive architectural decisions, and ensure compliance while partnering with data scientists and business leaders to operationalize complex models at enterprise