ML & AI Software Engineer II: Build Scalable AI Solutions

The Home Depot

United States

Remoto

USD 90.000 - 170.000

Tempo pieno

10 giorni fa

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

The Home Depot is seeking a Software Engineer II to design and deliver production-ready software that customers and associates love. You will collaborate with cross-functional teams to build scalable solutions, implement automation, and improve monitoring and resilience across services.

This role emphasizes Python, AI/ML work, cloud platforms, and modern development practices within a dynamic team environment.

Competenze

  • 1–3 years of software development or engineering experience.
  • Experience Python and at least one OO language (Java preferred).
  • Experience AI/ML solutions, ML models, or generative AI.
  • Experience with AI frameworks such as PyTorch or TensorFlow.
  • Experience writing and optimizing SQL queries against relational databases.
  • Experience with relational and NoSQL databases.
  • Experience with source control (Git).
  • Experience with HTML, CSS, JavaScript, and TypeScript.
  • Experience with cloud platforms and CI/CD pipelines.
  • Experience building microservice APIs and modern debugging/monitoring.

Mansioni

  • Deliver secure, reliable, scalable software and support production apps.
  • Collaborate with UX, engineering, and product management across teams.
  • Develop automation, monitoring, dashboards, and resilient production services.

Conoscenze

Python
AI/ML
SQL
NoSQL
Git
Java
TypeScript
CI/CD
Microservices
Testing
Cloud
Security

Formazione

Bachelor's degree

Strumenti

PyTorch
TensorFlow
Scikit-learn
LangChain
OpenAI/Azure AI services

Descrizione del lavoro

The Home Depot is seeking a Software Engineer II to design and deliver production-ready software that customers and associates love. You will collaborate with cross-functional teams to build scalable solutions, implement automation, and improve monitoring and resilience across services.

This role emphasizes Python, AI/ML work, cloud platforms, and modern development practices within a dynamic team environment.

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