Job description
Project overview
Role: MLOps Engineer
Project details
Cincinnati, OH (Onsite)
Contract
$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
- Start: flexible
- Location: Cincinnati, OH, United States of America, US
- Rate: 70-70 EUR/h
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