MLOps Engineer, Production ML for Banking (6mo)

Veriday Inc; Cincinnati (OH); On-site; USD 83,000 - 165,000; Full time

Benefits offered by this job

Competitive hourly rate

Dynamic work environment

Banking client project

Job summary

Veriday Inc. is seeking an experienced Machine Learning Engineer to design, build, and operate scalable ML platforms and production ML systems for a 6-month contract with a banking client in Cincinnati, OH.

You will own the end-to-end ML lifecycle and help establish enterprise MLOps capabilities, including a feature store, model registry, and automated CI/CD/CT pipelines. You will collaborate with data scientists, data engineers, software engineers, and business stakeholders, focusing on

Qualifications

• 5+ years of experience in Machine Learning Engineering, MLOps, Data Engineering, or Software Engineering.
• End-to-end ML lifecycle management: deployment, experiment tracking, model versioning, retraining, and governance.
• Hands-on experience operating ML workloads in the cloud (AWS SageMaker, Azure ML, Vertex AI).
• Strong Python and SQL; Java, Scala.

Responsibilities

• Design, build, and optimize scalable, production-grade ML platforms and systems.
• Manage end-to-end ML lifecycle: model versioning, experiment tracking, reproducibility, governance.
• Build and maintain CI/CD/CT pipelines for model testing, deployment, rollback, and retraining.

Skills

ML Engineering

MLOps

Data Engineering

Software Engineering

Python

SQL

Cloud Platforms

Docker

Kubernetes

CI/CD

Real-time Inference

Terraform

Linux

Tools

Snowflake

Databricks

IBM DB2

dbt

Spark

PySpark

Pandas

GitHub Actions

Terraform

Argo Workflows

Airflow

SageMaker Pipelines

Job description

Veriday Inc. is seeking an experienced Machine Learning Engineer to design, build, and operate scalable ML platforms and production ML systems for a 6-month contract with a banking client in Cincinnati, OH.

You will own the end-to-end ML lifecycle and help establish enterprise MLOps capabilities, including a feature store, model registry, and automated CI/CD/CT pipelines. You will collaborate with data scientists, data engineers, software engineers, and business stakeholders, focusing on