Senior ML Engineer - Production & MLOps Lead

Engg; Austin (TX); On-site; USD 163,000 - 262,000; Full time

Job summary

Visa seeks an experienced Machine Learning Engineer at senior levels to productionize models, optimize inference, and build robust pipelines in a cloud environment. You will collaborate with data scientists, product teams, and platform teams to translate research into scalable software with strong deployment practices.

Expect emphasis on security, compliance, and extensive MLOps capabilities. You will work in an environment that embraces generative AI tools and modern ML platforms while

Qualifications

• 8+ years of relevant work experience with a Bachelor Degree or at least 5 years with an Advanced Degree or 2 years with a PhD.
• Bachelor’s Degree in Computer Science, Engineering, ML, Statistics, OR Operations Research, or related field.
• Experience deploying, operationalizing, or supporting machine learning models in production environments.
• Strong programming experience in Python, Java, Scala, C++, C#, Go, or Rust.

Responsibilities

• Deploy and productionize machine learning models.
• Build and maintain model deployment pipelines including packaging, testing, versioning, release management, and rollback.
• Optimize models and inference services for latency, throughput, scalability, reliability, and cost.
• Support batch, streaming, real-time, and API-based model serving environments.
• Partner with data scientists to understand model logic, features, and validation metrics.
• Translate model artifacts into production-ready code and services.
• Implement monitoring for model performance, data quality, drift, and availability.
• Support A/B testing, champion/challenger, and controlled rollout strategies.
• Contribute to MLOps: CI/CD, registries, feature stores, orchestration, observability.
• Troubleshoot production issues in model serving and data pipelines.
• Ensure security, compliance, explainability, auditability, and reliability.

Skills

Python

Java

Scala

C++

C#

Go

Rust

MLOps

CI/CD

Docker

Kubernetes

Cloud platforms

SageMaker

Vertex AI

Databricks

TensorFlow

PyTorch

scikit-learn

XGBoost

Education

Bachelor’s Degree in Computer Science, Engineering, or related quantitative field

Advanced Degree (Masters, MBA, JD, MD)

PhD (2 years experience)

Tools

MLflow

Kubeflow

SageMaker

Vertex AI

Databricks

TensorFlow

PyTorch

scikit-learn

XGBoost

Job description

Visa seeks an experienced Machine Learning Engineer at senior levels to productionize models, optimize inference, and build robust pipelines in a cloud environment. You will collaborate with data scientists, product teams, and platform teams to translate research into scalable software with strong deployment practices.

Expect emphasis on security, compliance, and extensive MLOps capabilities. You will work in an environment that embraces generative AI tools and modern ML platforms while