Skip to main content

About the role

Role: MLOps Engineer
Location: Cincinnati, OH (Onsite) Contract
Pay Rate: $70/hr on W2
We are seeking a Machine Learning Operations (MLOps) Engineer to design, build, and optimize scalable machine learning platforms and production ML systems. The ideal candidate will have strong experience in MLOps, cloud-based ML platforms, CI/CD automation, model deployment, feature stores, real-time ML systems, and machine learning governance.
Required Skills: ~5+ years of experience in MLOps, Machine Learning Engineering, Data Engineering, or Software Engineering ~ Strong experience with ML Lifecycle Management, Model Deployment, Model Monitoring, and Model Governance ~ Cloud ML platform experience: AWS SageMaker, Azure ML, or Google Vertex AI ~ Strong Python and SQL programming skills ~ Experience with Snowflake, Databricks, Data Lakes, and Enterprise Data Platforms ~ Experience with Spark, PySpark, Pandas, and dbt ~ CI/CD tools such as Jenkins, GitHub Actions, Azure DevOps ~ Infrastructure as Code (Terraform) ~ Docker, Kubernetes, and containerized ML deployments ~ Experience with Apache Kafka, event-driven architectures, and real-time inference pipelines ~ Monitoring and observability tools such as Prometheus, Grafana, ELK Stack

Matching similar jobs

JOB OVERVIEW

Salary

$70/hr

Experience level

Senior

Location

Hamilton, OH

Occupation

Software Developers

Industry

Computer Systems Design Services

Posted

yesterday

Tired of running searches?

Rank the roles you'd take once, and matches like these arrive on their own.

CREATE PROFILE (opens in a new tab)