DevOps and AI Platform Engineer

They will understand business problem, comprehend data, systems and existing solutions, harvest data from data pipeline and propose models for Sales Enablement. Required Skills/Technologies: Python, Java, Prior experience with Machine Learning models and MRM in a production setting.

Job Title: DevOps and AI Platform Engineer
Location: Lunken Center, Cincinnati OH
Hybrid: 3 days in office a week
Duration: 3 months on contract with possible extension
 
Job Description
Build a product for Sales Enablement which utilized artificial intelligence - Generative AI and Machine learning models to enhance user experience.  This role will focus on the Machine Learning models, development, and model risk management in a team setting. They will be part of an existing on full stack and AI engineers. They will understand business problem, comprehend data, systems and existing solutions, harvest data from data pipeline and propose models for Sales Enablement.  They will build a ML model that can be delivered in production setting with available and existing data set. They are expected to build and test the model in the application setting and meet all specific SDLC requirements. They will collaborate with Model Risk Management for evaluation and evidence gathering. They understand responsible AI principles and will implement them as controls or integrate required solutions. Understand and prior experience of Generative AI development, validation and evaluation techniques is a plus.   
Required Skills/Technologies: Python, Java, Prior experience with Machine Learning models and MRM in a production setting
 
Preferred Skills/Attributes: Full stack engineering in a production setting in a large enterprise.
 
What does the interview process look like?
One round, two interviewers
Video, phone, or in person?
In-person if they are located in Cincinnati. On-video in a clear setting with clean audio and clear video in a distraction free environment if virtual.
 
How technical will the interviews be?

1. Highly technical.
    
   'DevOps, CI/CD, Azure, Kubernetes, Helm, Ansible, HashiVault, DataDog, Java'
   'Python, Claude Code, Generative AI, Pipeline Development, Resiliency, Software Development Life Cycle'