DevOps and AI Platform Engineer

Job Description

Build a product for Sales Enablement utilizing artificial intelligence - Generative AI and Machine learning models to enhance user experience. This role focuses on the Machine Learning models, development, and model risk management in a team setting.

Responsibilities

• Understand business problem, comprehend data, systems, and existing solutions
• Harvest data from data pipeline and propose models for Sales Enablement
• Build and test a ML model deliverable in production setting with available data set
• Collaborate with Model Risk Management for evaluation and evidence gathering
• Implement responsible AI principles as controls or integrate required solutions
• Experience with Generative AI development, validation, and evaluation techniques is a plus

Requirements

• Full stack engineering in a production setting in a large enterprise

Preferred Skills/Attributes

• Prior experience with Machine Learning models and MRM in a production setting
• Full stack engineering in a production setting in a large enterprise

Skills

• Python
• Java
• Generative AI development, validation, and evaluation techniques (preferred)

Benefits

• Hybrid work schedule: 3 days in office a week

Schedule

• 3 months on contract with possible extension

Pay

• N/A

Qualifications

• Understanding of responsible AI principles

Skills

• DevOps
• CI/CD
• Azure
• Kubernetes
• Helm
• Ansible
• HashiVault
• DataDog
• Java

Qualifications

• Python
• Generative AI development, validation, and evaluation techniques (preferred)

Interview Process

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
• Highly technical

Technical Interview Topics

• DevOps
• CI/CD
• Azure
• Kubernetes
• Helm
• Ansible
• HashiVault
• DataDog
• Java
• Python
• Generative AI development, validation, and evaluation techniques (preferred)