MLOps Engineer

About the role

Why WWT? World Wide Technology (WWT) strives to make a new world happen. WWT's work benefits clients and partners as much as it does its people and community across the globe. Founded in 1990, WWT brings together strategy, deep technical expertise and world-class partnerships to help public and private sector organizations design, build and scale intelligent AI, digital, cybersecurity, cloud and infrastructure solutions. Through its Advanced Technology Center (ATC)—a collaborative ecosystem featuring state-of-the-art hardware and software—WWT enables clients and partners to conceptualize, test and validate innovative technology and then deploy solutions at scale using its global integration and distributions capabilities. With more than 14,000 team members and over 60 locations globally, WWT's culture—grounded in core values and leadership philosophies—has been recognized by Fortune® and Great Place to Work for its commitment to innovation, trust and creating a great place to work for all. WWT provides products and services to large enterprise, global service provider and public sector clients in up to 130 countries across six continents. Softchoice, a World Wide Technology company, supports commercial and SMB markets in the U.S. and Canada. Want to work with highly motivated individuals on high-performance teams? Join WWT today! What is the Solutions Consulting & Engineering (SC&E) Team and why join? Solutions Consulting & Engineering is an organization that is Customer Focused and Solutions Led. We deliver end-to-end (E2E) and emerging solutions to drive customer satisfaction, increase profitability and growth. Our success is enabled by our world-class management consulting, delivery excellence and engineering brilliance. We embody the OneWWT mindset by bringing the right talent at the right time from anywhere within WWT to solve our customer's problems. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex challenges.

Responsibilities

• Develop, productionize, and deploy cutting-edge AI & ML solutions inside client environments; both cloud and on‑prem
• Build and operationalize the infrastructure models run on: Kubernetes clusters, GPU management, model serving, AI gateways, and the CI/CD pipelines that promote models between environments.
• Design and build ML pipelines: feature extraction and transformation, training and retraining jobs, model registry, validation gates, and deployment at scale.
• Deploy solutions with enterprise rigor; infrastructure as code, observability, guardrails, cost controls.
• Proactively identify issues with production readiness, security, or architecture reviews, and develop solutions.
• Work in cross‑functional agile teams with WWT data scientists, data engineers, engagement managers, etc. from scoping through delivery.
• Coach teammates on software delivery excellence (version control, automated testing, release management, and environment hygiene) and AI‑native engineering (coding agent use,