AI/MLOps Engineer

About this role

Requisition Number: 103019
AI/MLOps Engineer
Location:
This will be a hybrid position based out of Chandler, AZ, Chicago, IL, and Austin, TX.


Salary:
$117,215 - $155,890 per year


Candidates must be authorized to work in the U.S. for any employer without the need for sponsorship now or in the future.
Insight at a Glance

• 14,000+ engaged teammates globally
• #20 on Fortune’s World's Best Workplaces™ list
• $9.2 billion in revenue
• Received 35+ industry and partner awards in the past year
• $1.4M+ total charitable contributions in 2023 by Insight globally

Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a
Fortune 500 Solutions Integrator
with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organisations through complex digital decisions.


About The Role
As an AI/MLOps Engineer, you will be a key member of a team building a Python-based application on Google Cloud Platform (GCP). We will count on you to ensure that our machine learning models are efficiently deployed, monitored, and maintained in production, driving reliability and performance from development to deployment. Along the way, you will get to:

• Model Deployment & Management: Architect and implement scalable and reliable deployment pipelines for machine learning models. You'll use Vertex AI for model training, serving, and management.
• CI/CD Automation: Build and maintain automated CI/CD pipelines to streamline the entire model lifecycle. This includes automated testing, versioning, and deployment to production.
• Infrastructure Management: Manage the underlying infrastructure for the AI agent tool, primarily using Cloud Run for containerized applications. You'll also use other relevant GCP services to support the ap...