Senior AIML Architect

External job listingat Technixonline

Technixonline seeks an architect for enterprise AI/ML architecture, predictive analytics, machine learning platforms, MLOps, and AI modernization.

External source - not verified2 months agoOpen until: Nov 12, 2026

Salary

Not provided

Location

Fort Lauderdale, United States

Employment type

Full time

Workplace

Not provided

Senior AIML Architect

Fort Lauderdale, United States

Job description

About the role

Technixonline is seeking an architect responsible for enterprise AI/ML architecture, predictive analytics, machine learning platforms, and MLOps.

Responsibilities

  • Design enterprise AI architecture and scalable AI infrastructure.
  • Build machine learning platforms and feature stores.
  • Design MLOps and machine learning deployment pipelines.
  • Implement model governance and design AI security architecture.
  • Lead AI modernization initiatives and collaborate with cloud architects.

Requirements

  • Technologies include Azure ML, Databricks, MLflow, Kubernetes, Docker, Python, TensorFlow, PyTorch, Spark ML, Azure DevOps, and GitHub Actions.
  • Preferred experience architecting AI/ML platforms for public education, state government, county government, healthcare, or other large public-sector organizations.
  • Preferred experience designing enterprise AI governance, predictive analytics, and data science platforms supporting large-scale public services.

Key facts

  • The role covers enterprise AI/ML architecture, predictive analytics, machine learning platforms, and MLOps.
  • Technologies include Azure ML, Databricks, MLflow, Kubernetes, Docker, Python, TensorFlow, and PyTorch.
  • Preferred experience includes AI/ML platforms for large public-sector organizations.

Frequently asked questions

  • What does the role involve?

    It covers enterprise AI/ML architecture, predictive analytics, machine learning platforms, and MLOps.

  • What technologies are listed?

    Azure ML, Databricks, MLflow, Kubernetes, Docker, Python, TensorFlow, PyTorch, Spark ML, Azure DevOps, and GitHub Actions.

  • What experience is preferred?

    Experience architecting AI/ML platforms for public education, government, healthcare, or other large public-sector organizations is preferred.

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