About this role

Visa is seeking a Sr. ML Engineer to build and maintain the ML platform infrastructure that powers AI/ML applications across the organization. You will design cloud and on-prem infrastructure, manage model deployment, and modernize ML pipelines to enable Data Scientists and AI Engineers to move models from research to production. This role is ideal for a hands-on engineer with practical experience in AWS, SageMaker, Kubernetes, and MLOps, who is passionate about building scalable and reliable platforms.

What we are looking for

6

Design and build scalable ML pipelines, orchestration frameworks, and model serving infrastructure
Build and operate secure cloud and on-prem infrastructure using AWS, Kubernetes, SageMaker, and Terraform
Support GPU-enabled infrastructure for AI/ML, GenAI, and LLM workloads
Modernize legacy ML pipelines and adopt emerging technologies
Collaborate with Data Scientists and AI Engineers to productionize models
Experience with MLOps, Infrastructure as Code, and containerization

Skills mentioned

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PythonAWSDockerKubernetesTerraformCI/CD