Senior ML Platform Engineer: Scale AI Infrastructure

Visa; Austin (TX); Hybrid; USD 123,000 - 191,000; Full time

Job summary

Visa is seeking a Sr. ML Engineer to design, build, and maintain scalable ML platform infrastructure powering AI/ML applications. You will guide the team on deployment patterns, create tooling to productionize models, and establish best practices across the ML platform.

The role requires hands-on work with AWS, Kubernetes, SageMaker, and IaC to enable Data Scientists and AI Engineers. Ideal candidates will have 2+ years with a Bachelor's or 5+ years of relevant experience, plus strong Python,

Qualifications

• 2+ years of relevant work experience and a Bachelor's degree, OR 5+ years of relevant work experience.
• Experience designing, building, and maintaining scalable ML platform infrastructure for AI/ML applications.
• Experience with AWS services such as EC2, S3, EKS, SageMaker, IAM, VPC, and CloudWatch.

Responsibilities

• Lead and deliver platform engineering deliverables as a Sr. ML Engineer.
• Provide guidance to the engineering team on building scalable ML infrastructure, deployment patterns, and platform capabilities.
• Improve the productivity of Data Scientists and AI Engineers by developing tooling that simplifies model deployment and productionization.
• Act as a platform design authority and shape best practices and methodologies within the ML platform team.
• Design and build scalable ML pipelines, orchestration frameworks, and model serving infrastructure.
• Collaborate with Data Scientists, AI Engineers, infrastructure teams, and security partners to integrate AI/ML solutions into production systems.
• Build and operate secure cloud and on-prem infrastructure using AWS, Kubernetes, SageMaker, Terraform, and related platform technologies.
• Support GPU-enabled infrastructure and serving frameworks for AI/ML, GenAI, and LLM workloads.
• Modernize legacy ML pipelines and adopt emerging technologies to improve reliability, scalability, and operational efficiency.
• Communicate technical concepts, platform capabilities, and architectural decisions to technical and non-technical stakeholders.

Skills

Python

Shell scripting

Team collaboration

Communication

Mentoring

Education

Bachelor's degree

Tools

AWS

Kubernetes

Docker

Kubeflow

Airflow

MLflow

Terraform

CloudFormation

CI/CD pipelines

Job description

Visa is seeking a Sr. ML Engineer to design, build, and maintain scalable ML platform infrastructure powering AI/ML applications. You will guide the team on deployment patterns, create tooling to productionize models, and establish best practices across the ML platform.

The role requires hands-on work with AWS, Kubernetes, SageMaker, and IaC to enable Data Scientists and AI Engineers. Ideal candidates will have 2+ years with a Bachelor's or 5+ years of relevant experience, plus strong Python,