Machine Learning Engineer II – Generative AI (Remote)

The Home Depot is seeking a Machine Learning Engineer II to design, build, and maintain AI-powered applications utilizing generative models. This role involves collaborating with cross-functional teams to deliver user stories and support the integration of AI solutions into software products.

Responsibilities:

• Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do "destructive testing" to ensure adequate resiliency in production; Program configuration/modification and setup activities on large projects using HD approved methodology; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
• Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations
• Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality

Requirements:

• Must be eighteen years of age or older
• Must be legally permitted to work in the United States
• The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED
• 1 year of relevant work experience
• 1–3 years of relevant work experience in Generative AI, Machine Learning, or AI application development
• Experience in Python and modern AI development frameworks
• Experience building Generative AI applications using large language models (LLMs)
• Experience with prompt engineering, prompt optimization, and prompt evaluation techniques
• Experience integrating AI models through APIs from platforms such as Google, OpenAI or Anthropic
• Experience with GenAI frameworks such as Google Agent Development Kit (ADK)
• Experience implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases
• Experience working with vector databases such as google Vertex AI Search
• Familiarity with building conversational AI systems, or AI assistants
• Familiarity with responsible AI practices including bias mitigation and safety guardrails
• Familiarity with REST APIs, microservices architecture, and scalable AI system deployment
• Familiarity implementing CI/CD pipelines, monitoring, and automated workflows for reliable AI model deployment and lifecycle management
• Familiarity with monitoring, evaluation, and optimization of production AI systems