MLOps Engineer

Role description

MLOps Engineer

ML Engineer I

Who We Are

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.

UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you’ll create a boundless impact that transforms your career—and the lives of people across the world.

Visit us at UST.com.

You Are

UST is searching for an MLOps Engineer with experience with ML lifecycle management and deployment automation.

The opportunity

• Automate model training, testing, deployment, and monitoring workflows.
• Implement model versioning, experiment tracking, and model registry solutions.
• Monitor model performance, drift, and operational health in production environments.
• Collaborate with Data Engineers, and DevOps teams to operationalize ML solutions.
• Establish governance, security, access control, and auditability processes for ML platforms.

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.

What you

need:

• Strong Python programming skills.
• Hands-on expertise with: o MLflow o Kubeflow o Amazon SageMaker o AWS Step functions o ECS (Elastic Container Services)
• Knowledge of Docker and Kubernetes.
• Experience with CI/CD tools and DevSecOps practices.
• Familiarity with Terraform, CloudFormation, or similar IaC tools.
• Understanding of model monitoring, observability, and performance optimizati