Senior MLOps Platform Engineer

Visa; Austin (TX); Hybrid; USD 130,700 - 202,300; Full time

Benefits offered by this job

Medical benefits

401(k)

Paid Time Off

Wellness Program

Job summary

Visa is seeking a Sr. ML Engineer in Austin, Texas, responsible for building scalable cloud infrastructure for AI applications. This role focuses on MLOps and requires expertise in AWS, Kubernetes, and system design.

The ideal candidate will work closely with data scientists to streamline model deployment and security, providing robust support for traditional ML and Generative AI workloads. A Bachelor's degree is preferred, along with significant experience in relevant technologies.

Qualifications

• 2+ years of relevant work experience or 5+ years without a degree.
• Experience in developing scalable AI/ML models.
• Managing Kubernetes clusters for ML pipelines.

Responsibilities

• Design, build, and maintain ML infrastructure on AWS.
• Deploy and manage Kubernetes clusters for ML pipelines.
• Build serving infrastructure for ML models and LLMs.
• Implement security measures for data and models.
• Automate infrastructure provisioning using Terraform.
• Develop CI/CD pipelines for model deployment.
• Partner with data scientists to fulfill compute needs.
• Implement logging and monitoring for ML models.

Skills

AWS cloud architecture

MLOps

Kubernetes

System design

CI/CD pipelines

Education

Bachelor's degree or equivalent experience

Tools

Terraform

AWS CloudFormation

Kubeflow

CloudWatch

Prometheus

Grafana

Job description

Visa is seeking a Sr. ML Engineer in Austin, Texas, responsible for building scalable cloud infrastructure for AI applications. This role focuses on MLOps and requires expertise in AWS, Kubernetes, and system design.

The ideal candidate will work closely with data scientists to streamline model deployment and security, providing robust support for traditional ML and Generative AI workloads. A Bachelor's degree is preferred, along with significant experience in relevant technologies.