ML Engineer II: Build & Monitor AI Solutions

The Home Depot, Inc.; Atlanta (GA); Remote; USD 110,000 - 160,000; Full time

Job summary

The Home Depot, Inc. is seeking a Machine Learning Engineer II to join a product team and contribute to design, development, and deployment of ML-powered software. You will pair daily with teammates to deliver scalable ML solutions and ensure production readiness.

Responsibilities include building and tuning ML algorithms, automating infrastructure, and supporting production systems while collaborating with stakeholders and engineering teams.

Qualifications

• High school diploma or GED required.
• 1 year of relevant work experience.
• Proficiency in Python and SQL.
• Experience with data engineering and big data platforms.
• Experience with modern web frameworks (Node.js).
• Frontend tech: HTML, CSS, JavaScript, ReactJS, D3.
• Ability to write SQL queries against relational databases.
• Version control with Git.

Responsibilities

• 65% Delivery and Execution – collaborate with UX, engineering, product management; implement ML solutions; automate infrastructure and tests; monitor and log production systems.
• 15% Learning – engage with modern ML/software design; consume resources to stay current.
• 20% Support and Enablement – support production software; monitor SLAs and performance; coordinate with product teams to ensure reliability.

Skills

Python

SQL

Pandas

BigQuery

TensorFlow

PyTorch

REST APIs

Linux

CI/CD

Education

High school diploma or GED

Tools

Data Store

BigQuery

Node.js

HTML

CSS

JavaScript

ReactJS

D3

Job description

The Home Depot, Inc. is seeking a Machine Learning Engineer II to join a product team and contribute to design, development, and deployment of ML-powered software. You will pair daily with teammates to deliver scalable ML solutions and ensure production readiness.

Responsibilities include building and tuning ML algorithms, automating infrastructure, and supporting production systems while collaborating with stakeholders and engineering teams.