Senior Machine Learning Engineer- Generative AI (REMOTE)

Job Description

Senior Machine Learning Engineer- Generative AI (REMOTE) - The Home Depot | Built In Companies Jobs Articles Can't find your company? Create a company profile. View All Jobs Join Log In For Employers The Home Depot Jobs Senior Machine Learning Engineer- Generative AI (REMOTE) The Home Depot Senior Machine Learning Engineer- Generative AI (REMOTE) Posted 17 Days Ago Be an Early Applicant Hiring Remotely in 9090, Melle, Vlaams Gewest, BEL In-Office or Remote Senior level Retail The Role Designs, builds, integrates, optimizes, and maintains production generative AI applications. Responsibilities include developing LLM and RAG solutions, prompt engineering, AI service integration, testing, monitoring, dashboards, alerting, resiliency testing, and production support. Collaborates with UX, engineering, product, infrastructure, and business teams; reviews code and prompts; ensures security, scalability, reliability, quality standards, and responsible AI practices. Summary Generated by Built In With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Sr Machine Learning Engineer is responsible for designing, building, integrating, optimizing, and maintaining AI-powered applications that leverage generative models and the overall product lifecycle for a product that our users love. Generative AI Engineers are expected to collaborate closely with teammates as they develop and deliver user stories while supporting AI-powered products as they evolve. Generative AI Engineers may design and implement applications using large language models (LLMs) and other generative models to embed intelligent capabilities directly into software products. Activities may include prompt engineering, model integration, building Retrieval-Augmented Generation (RAG) pipelines, and developing scalable AI services. The role may interact with business stakeholders, infrastructure teams, and development teams to ensure business requirements are effectively addressed through generative AI solutions. The role may also support evaluation, performance optimization, testing, and monitoring of AI systems in production. Additional responsibilities may include working with domain data, improving prompts and AI workflows, and creating documentation or enablement materials for generative AI solutions. Sr Generative AI Engineers should be able to work independently with minimal guidance, while collaborating with cross-functional teams of varying skill levels to design, deploy, and maintain production AI applications. This role may review submitted code and prompt implementations, providing feedback and improvements based on engineering and responsible AI best practices. Key Responsibilities: 70% Delivery and Execution - 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; 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 10% Learning - 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 20% Support and Enablement - 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 Direct Manager/Direct Reports: This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager This Position has 0 Direct Reports Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in t