Visa

1 month ago

Sr. ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Design, build, and manage scalable cloud infrastructure for AI and machine learning workloads, including both traditional ML and modern Generative AI (LLM) deployments. Own key ML platform modules, lead architectural reviews, and implement robust deployment standards. Manage Kubernetes and Kubeflow pipelines, productionize models with LLMOps/serving frameworks, and ensure secure, observable infrastructure using AWS services and monitoring/alerting to support reliable research-to-production transitions.

Location: Austin

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design, build, and maintain scalable, highly available ML infrastructure on AWS and Visa OnPrem.
•Deploy and manage Kubernetes clusters and Kubeflow to orchestrate ML training and deployment pipelines.
•Build robust serving infrastructure to productionize ML models and LLMs using modern serving frameworks.
•Implement secure platform architectures using AWS IAM, VPCs, and security groups.
•Develop CI/CD and MLOps pipelines with observability and monitoring to track system health, model drift, and latency.

Travel: Low travel

Pay and Benefits

Salary: USD 130,700 - 202,300 annually

Perks:Health InsuranceDentalVision401kFsa/hsaLife InsurancePaid LeaveWellness Stipend

Key Requirements

•2+ years relevant work experience with a Bachelor’s degree, OR 5+ years relevant work experience.
•Experience developing and implementing scalable AI/ML models and algorithms.
•Experience managing Kubernetes clusters and Kubeflow for ML pipelines.
•Experience building ML serving infrastructure (vLLM, TensorRT-LLM, KServe, Triton).
•Experience with automating infrastructure with Terraform/CloudFormation and developing CI/CD pipelines for ML model deployment.

Experience:2-5 yearsPayments technologyAI/MLMLOpsCloud infrastructureGenerative AI

Education:Bachelor's

Skills:Cross-functional collaborationTechnical architecture/design reviewAutomation mindsetProductivity with AI-assisted tools

Tech Stack:AWSVisa OnPremKubernetesKubeflowAWS IAMVPCSecurity groupsTerraformAWS CloudFormationCI/CDMLOpsVLLMTensorRT-LLMKServeTritonCloudWatchPrometheusGrafanaGitHub CopilotChatGPT

Company Brief

Visa

Global payments technology company that operates the VisaNet electronic payments network, facilitating credit, debit and digital transactions between consumers, merchants, financial institutions and governments worldwide.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1958

Glassdoor: 3.8

Website LinkedIn Glassdoor

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Visa

1 month ago

Sr. ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Location: Austin

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design, build, and maintain scalable, highly available ML infrastructure on AWS and Visa OnPrem.
•Deploy and manage Kubernetes clusters and Kubeflow to orchestrate ML training and deployment pipelines.
•Build robust serving infrastructure to productionize ML models and LLMs using modern serving frameworks.
•Implement secure platform architectures using AWS IAM, VPCs, and security groups.
•Develop CI/CD and MLOps pipelines with observability and monitoring to track system health, model drift, and latency.

Travel: Low travel

Pay and Benefits

Salary: USD 130,700 - 202,300 annually

Perks:Health InsuranceDentalVision401kFsa/hsaLife InsurancePaid LeaveWellness Stipend

Key Requirements

•2+ years relevant work experience with a Bachelor’s degree, OR 5+ years relevant work experience.
•Experience developing and implementing scalable AI/ML models and algorithms.
•Experience managing Kubernetes clusters and Kubeflow for ML pipelines.
•Experience building ML serving infrastructure (vLLM, TensorRT-LLM, KServe, Triton).
•Experience with automating infrastructure with Terraform/CloudFormation and developing CI/CD pipelines for ML model deployment.

Experience:2-5 yearsPayments technologyAI/MLMLOpsCloud infrastructureGenerative AI

Education:Bachelor's

Skills:Cross-functional collaborationTechnical architecture/design reviewAutomation mindsetProductivity with AI-assisted tools

Tech Stack:AWSVisa OnPremKubernetesKubeflowAWS IAMVPCSecurity groupsTerraformAWS CloudFormationCI/CDMLOpsVLLMTensorRT-LLMKServeTritonCloudWatchPrometheusGrafanaGitHub CopilotChatGPT

Company Brief

Visa

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1958

Glassdoor: 3.8

Website LinkedIn Glassdoor