Contract ML Engineer: Production ML & MLOps for Banking

Veriday Inc.; Cincinnati (OH); Hybrid; USD 96,000 - 165,000; Full time

Benefits offered by this job

Competitive hourly rate

Collaborative and dynamic work环境

Opportunity to work on cutting-edge,\n

Job summary

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

You will own the full ML lifecycle, from feature engineering and model deployment to monitoring and retraining. You will help establish enterprise MLOps capabilities including a Feature Store, Model Registry, and automated CI/CD/CT pipelines, while partnering with data scientists, engineers, and stakeholders in regulated

Qualifications

• 5+ years of experience in Machine Learning Engineering, MLOps, Data Engineering, or Software Engineering, including 3+ years building and supporting production ML systems.
• Hands-on experience operating ML workloads in the cloud (AWS SageMaker/Azure ML/Vertex AI).
• Proficiency in Python and SQL; Java and Scala are a plus.
• Experience with Feature Store architecture and Model Registry implementation.
• Experience building CI/CD pipelines for ML workloads using Git/GitHub/GitLab and Jenkins or similar tools.

Responsibilities

• Design, build, and optimize scalable, production‑grade ML platforms and systems covering development, training, deployment, and monitoring.
• Manage end-to-end ML lifecycle including versioning, experiment tracking, reproducibility, and governance.
• Develop automated CI/CD/CT pipelines for model testing, deployment, rollback, and retraining with IaC practices.
• Design and support enterprise Feature Stores and a Model Registry to improve feature reuse and governance.
• Collaborate with data engineers to build scalable data pipelines integrating warehouses, lakes, and external sources.

Skills

Machine Learning

MLOps

Data Engineering

Python

SQL

Cloud Platforms

CI/CD

Distributed Systems

Tools

Snowflake

Databricks

Spark

PySpark

Pandas

GitHub Actions

Terraform

Docker

Kubernetes

Apache Kafka

Prometheus

Job description

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

You will own the full ML lifecycle, from feature engineering and model deployment to monitoring and retraining. You will help establish enterprise MLOps capabilities including a Feature Store, Model Registry, and automated CI/CD/CT pipelines, while partnering with data scientists, engineers, and stakeholders in regulated