Senior MLOps Engineer – Real-Time ML & Scalable Platforms

BC Forward; Cincinnati (OH); On-site; USD 110,000 - 117,000; Full time

Job summary

BCforward is seeking a Senior MLOps Engineer to design, build, and optimize scalable ML platforms and production systems in Cincinnati. The role focuses on cloud-based ML operations, CI/CD for ML workloads, and cross-functional collaboration with data science, data engineering, and software teams.

Qualifications include 5+ years in ML/MLOps, end-to-end lifecycle management, and cloud experience on AWS/Azure/GCP. Proficiency in Python, SQL, Docker, Kubernetes, and Terraform is desired.

Qualifications

• 5+ years in ML Engineering, MLOps, or related fields.
• End-to-end ML lifecycle management including deployment, orchestration, and monitoring.
• Cloud ML experience on AWS, Azure, or GCP with batch and real-time solutions.

Responsibilities

• Design, deploy, and manage production-grade ML platforms and pipelines.
• Implement model versioning, experiment tracking, and governance for reproducibility.
• Build CI/CD pipelines for ML with IaC and automated retraining.
• Develop data pipelines for training and inference with emphasis on quality and observability.
• Establish monitoring for model performance and data drift with alerting.

Skills

Python

SQL

Cloud ML

Experiment tracking

Tools

Docker

Kubernetes

Git/GitHub

Terraform

Job description

BCforward is seeking a Senior MLOps Engineer to design, build, and optimize scalable ML platforms and production systems in Cincinnati. The role focuses on cloud-based ML operations, CI/CD for ML workloads, and cross-functional collaboration with data science, data engineering, and software teams.

Qualifications include 5+ years in ML/MLOps, end-to-end lifecycle management, and cloud experience on AWS/Azure/GCP. Proficiency in Python, SQL, Docker, Kubernetes, and Terraform is desired.