Description

You will build and maintain ML infrastructure on Google Cloud Platform, focusing on Vertex AI and CI/CD automation for production models.

This role is on-site.

Responsibilities

• Design and deploy CI/CD pipelines specifically for ML workflows using Vertex AI.
• Develop and optimize machine learning models using Python, TensorFlow, PyTorch, and Scikit-learn.
• Maintain and scale MLOps infrastructure within the Google Cloud Platform environment.
• Apply retail domain expertise to solve specific business problems through machine learning solutions.
• Collaborate with data teams to ensure model reliability and performance in production.

Required Skills

• 4+ years of hands-on experience with MLOps practices and tools.
• Strong proficiency in Google Vertex AI and general GCP services.
• Deep experience with Python and ML libraries: TensorFlow, PyTorch, and Scikit-learn.
• Proven track record building CI/CD pipelines for machine learning workflows.
• 5+ years of total software engineering or data engineering experience.
• Retail domain experience is mandatory.
• Must reside within 50 miles of Cincinnati, OH for on-site work.

Preferred Skills

• Experience with large-scale retail data processing and recommendation systems.
• Familiarity with containerization (Docker/Kubernetes) in GCP.

Key Skills

Education

Any Graduate