Product Manager (ML/Vertex AI) - Cincinnati, OH or Colombus, OH (No relocation) - W2 (NO C2C) Posted by Tauqeer

Overview

On Site
Hybrid
Depends on Experience
Contract - W2
Contract - 6 Month(s)
No Travel Required

Skills

Machine Learning (ML)
Machine Learning Operations (ML Ops)
Vertex
Product Management
Artificial Intelligence
Kubernetes
DevOps
Docker
API
Terraform

Job Details

Experience operating within Cloud Experiences, Vertex AI

5-10+ years in ML engineering, MLOps, or ML product management, (with a proven track record in Vertex AI and cloud-based ML deployment) Vertex AI experience can be more like 12-18 months

Machine Learning & MLOps: Strong expertise in managing the ML lifecycle, from training to production deployment, using automated pipelines.

Cloud & Infrastructure: Extensive experience with Google Cloud Platform (Google Cloud Platform), especially Vertex AI, including managed pipelines, feature store, model monitoring, and AutoML.

Automation & Scalability: Expertise in scaling ML models using CI/CD pipelines, containerization (Docker, Kubernetes, Vertex AI Pipelines), and model versioning.

Software Engineering & DevOps: Knowledge of infrastructure as code (Terraform, Helm), microservices, and API-driven model deployment.

Performance Monitoring & Adaptation: Experience with Vertex AI Model Monitoring, Cloud Logging, and A/B testing to ensure continuous model effectiveness.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.