Senior AI Architect — NLP, ML Ops & Education Impact

Stride, Inc.

Columbus (OH)

Remoto

USD 113.000 - 200.000

Tempo pieno

14 giorni+
Generatore di candidature

Trasforma questo annuncio in un colloquio — un curriculum e una lettera di presentazione creati in base a ciò questo datore di lavoro sta cercando.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Remote work
Bonus eligible

Descrizione del lavoro

Stride, Inc. is seeking an AI Architect to design and deliver production-ready AI solutions across the organization.

You will lead a small team of AI Engineers and occasionally flex roles from UX, front-end, and subject matter experts to craft innovative ML-driven solutions with enterprise impact. The role requires end-to-end ML pipelines in cloud environments, strong DevOps/MLOps emphasis, and governance for student data privacy.

Competenze

  • Bachelor's degree in Computer Science, Math, Physics, Engineering or related field.
  • 6+ years of related experience (or equivalent).
  • Experience designing and deploying ML models (NLP & recommender systems) using Python and ML libraries.

Mansioni

  • Drive conception, prototyping, and deployment of ML models across product lines.
  • Leverage AWS/Azure, containers, and IaC for scalable AI systems.
  • Supervise 1–3 AI Engineers and bring in flex contributors as needed.
  • Ensure governance, data privacy and ethical AI practices.
  • Collaborate with Product, Engineering, IT, and executives to align AI initiatives with business goals.

Conoscenze

NLP
Recommender systems
Python

Formazione

Bachelor's degree in Computer Science/Math/Engineering

Strumenti

AWS
Azure
Docker
Kubernetes
Terraform

Descrizione del lavoro

Stride, Inc. is seeking an AI Architect to design and deliver production-ready AI solutions across the organization.

You will lead a small team of AI Engineers and occasionally flex roles from UX, front-end, and subject matter experts to craft innovative ML-driven solutions with enterprise impact. The role requires end-to-end ML pipelines in cloud environments, strong DevOps/MLOps emphasis, and governance for student data privacy.

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