Machine Learning Operations (MLOps) Engineer (Only W2)
CBTS
Role: Machine Learning Operations (MLOps) Engineer
Location: Cincinnati, OH - Onsite
Pay Rate: $70-80/hour on W2, client will not consider C2C
Required Qualifications
Experience
- 5+ years of experience in Machine Learning Engineering, MLOps, Data Engineering, or Software Engineering.
- 3+ years of experience building and supporting production machine learning systems.
- Demonstrated experience implementing end-to-end machine learning lifecycle management.
- Experience operating ML workloads in cloud environments (AWS, Azure, or GCP).
- Experience supporting both batch and real-time machine learning solutions.
- Experience working with large-scale structured and unstructured data.
Required Technical Skills
Machine Learning & MLOps
- ML lifecycle management
- Model deployment and orchestration
- Experiment tracking and model versioning
- Model monitoring and observability
- Feature Store architecture
- Model Registry implementation
- Automated retraining workflows
- Responsible AI and model governance practices
Cloud Platforms
Experience with one or more:
- AWS SageMaker
- Azure Machine Learning
- Google Vertex AI
Programming
Proficiency in:
- Python (required)
- SQL (required)
- Java, Scala, or R (preferred)
Data Platforms
Experience with:
- Snowflake
- Databricks
- IBM DB2 or equivalent enterprise RDBMS platforms
- Data lakes and modern cloud storage platforms
Data Transformation
Experience with:
- dbt
- Spark
- Pandas
- PySpark
DevOps & Infrastructure
Experience with:
- Git/GitHub/GitLab
- Jenkins, GitHub Actions, Azure DevOps, or equivalent CI/CD tools
- Terraform or infrastructure-as-code frameworks
- Linux administration
- Shell scripting
Containers & Orchestration
Experience with:
- Docker
- Kubernetes
- OpenShift (preferred)
Streaming & Real-Time Technologies
Experience with:
- Apache Kafka
- Event-driven architectures
- Real-time inference pipelines
Monitoring & Observability
Experience with:
- Prometheus
- Grafana
- ELK Stack
- Cloud-native monitoring solutions
Vacancy posted 13 days ago
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