Specialist - Data Engineering

Your responsibility will include the following

Review the current ML architecture identify gaps and design a resiliency solution

Implement the design for all environments

Implement and test High Availability and Disaster Recovery strategy by design

Develop best practice guidelines for common patterns in development deployment and operations

Develop defined CICD pipelines for application deployment automation

Establish monitoring and auditing process for environment health run status and access

Create a dashboard and notification system to report costs for each subgroup of Revenue Management Pricing YM IT Prod preprod nonprod for cost management

Enhance current security controls for users and process authorization

Onboard Pricing 20 to the enhanced environments

Minimum Qualifications

Azure ML platform development and support

3 years of AIML platform engineering experience 3 years of experience developing platform orchestration code in Azure

Azure CLI Python Terraform as primary Understanding Java

Strong experience with delivering Cloud Infrastructure as Code leveraging CICD Terraform and Git Actions

Experienced with AI ecosystem tooling AIOps evaluation monitoring governance security

Must be a selfstarter and ability to take independent action to achieve results Highly developed critical thinking analytical and problemsolving skills

BS of Computer Science or related fields

Preferred Qualifications

Demonstrate a positive professional attitude and frame of mind when working with and communicating with others