Sr. ML Engineer

Visa
Austin
Workplace: OnsiteFull timeUSD 123,400 - 191,100 annuallyFunction: Data Science & Machine LearningExperience: 2+ yearsEducation: bachelorsSkills: ["Communication","Mentoring","Cross-functional collaboration","Technical leadership"]

Build and maintain ML platform infrastructure that powers AI/ML applications across the organization. Design cloud and on-prem systems for model deployment, scalable pipelines, orchestration frameworks, and model serving. Modernize legacy ML pipelines and improve reliability and productivity through MLOps tooling, secure AWS/Kubernetes architectures, and GPU-enabled infrastructure for GenAI/LLM workloads—while collaborating with Data Scientists, AI Engineers, security, and infrastructure teams.

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FursaFursa
Visa
Visa
12 hours ago

Sr. ML Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Build and maintain ML platform infrastructure that powers AI/ML applications across the organization. Design cloud and on-prem systems for model deployment, scalable pipelines, orchestration frameworks, and model serving. Modernize legacy ML pipelines and improve reliability and productivity through MLOps tooling, secure AWS/Kubernetes architectures, and GPU-enabled infrastructure for GenAI/LLM workloads—while collaborating with Data Scientists, AI Engineers, security, and infrastructure teams.
Location: Austin
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead and deliver ML platform engineering deliverables, including scalable infrastructure, deployment patterns, and platform capabilities.
  • •Design and build scalable ML pipelines, orchestration frameworks, and model serving infrastructure.
  • •Improve data scientist and AI engineer productivity by developing tooling for model deployment and productionization.
  • •Build and operate secure cloud and on-prem infrastructure using AWS, Kubernetes, SageMaker, Terraform, and related technologies, including GPU-enabled serving for GenAI/LLMs.
  • •Modernize legacy ML pipelines and collaborate with data scientists, AI engineers, infrastructure teams, and security partners to integrate AI/ML solutions into production systems.
Travel: Low travel

Pay and Benefits

Salary: USD 123,400 - 191,100 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kPaid LeaveLife InsuranceFsa/hsaWellness Stipend

Key Requirements

  • •2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience.
  • •Experience designing, building, and maintaining scalable ML platform infrastructure for AI/ML applications.
  • •Hands-on experience with AWS services such as EC2, S3, EKS, SageMaker, IAM, VPC, and CloudWatch.
  • •Experience managing Kubernetes clusters and containerized ML workloads (e.g., Docker).
  • •Experience with ML pipelines and orchestration tools such as Kubeflow, Airflow, MLflow (or similar).
Experience:2+ yearsMLOpsGenerative AILLMsEnterprise environmentsRegulated environments
Education:Bachelor's
Skills:CommunicationMentoringCross-functional collaborationTechnical leadership
Tech Stack:AWSAmazon EC2Amazon S3Amazon EKSSageMakerIAMVPCCloudWatchKubernetesDockerTerraformCloudFormationInfrastructure as CodeCI/CDPythonShell scriptingKubeflowAirflowMLflowKServe

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
Glassdoor: 3.8
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