Senior ML Engineer: Enterprise AI Systems & Production AI

Aimlroles; Northern (KY); Hybrid; USD 100,000 - 180,000; Full time

Job summary

The Home Depot seeks a Sr Machine Learning Engineer to join a product team, designing and embedding ML algorithms into software products. Expect heavy collaboration, production readiness, and ongoing optimization across data, code, and systems. Emphasis on scalable ML, agentic AI, and enterprise data capabilities.

You will work with stakeholders across engineering and product teams, contributing to performance tuning, monitoring, and educational materials to improve adoption and reliability.

Qualifications

• 5+ years of experience in ML/AI engineering or related field.
• Experience designing and developing Agentic AI applications, LLM-powered solutions, retrieval-augmented generation (RAG) systems, and intelligent automation workflows.
• Strong experience with knowledge graphs, graph engineering, network analysis, semantic search, and building enterprise knowledge layers that connect structured and unstructured data to enable AI and analytics use cases.
• Experience developing scalable data pipelines, data products, and feedback loop architectures that support continuous model and agent improvement.
• Proficiency in Python and modern AI/ML frameworks and libraries such as PyTorch, TensorFlow, Scikit-learn, Pandas, and related technologies.
• Experience with cloud-native AI/ML platforms and infrastructure, preferably Google Cloud Platform (Vertex AI, BigQuery, BigQuery ML), including model deployment, monitoring, and MLOps practices.
• Experience building and supporting AI infrastructure, including vector databases, model serving platforms, APIs, microservices, distributed systems, and high-availability architectures.
• Strong understanding of software engineering best practices, including CI/CD, version control, automated testing, security, and performance optimization.
• Experience working with large-scale structured and unstructured datasets, SQL, NoSQL, and modern data architecture patterns.
• Strong communication, collaboration, and stakeholder management skills with the ability to influence technical decisions across engineering, data, analytics, and product teams.
• Demonstrated ability to thrive in ambiguous environments, rapidly learn emerging technologies, solve complex problems, and drive innovation in a fast-paced organization.

Responsibilities

• Deliver secure, scalable ML solutions in collaboration with UX, engineering, and product management; ensure quality and change control standards; develop automation for infrastructure, monitoring, and testing.
• Participate in learning activities around modern software design, machine learning, and development practices; stay updated with new technologies.
• Provide application support for software in production; monitor production SLAs; review performance and capacity across code, data, and prediction quality.

Skills

Machine Learning

AI Engineering

Software Engineering

Agentic AI

LLM-powered

RAG systems

Knowledge graphs

Data pipelines

Python

PyTorch

TensorFlow

Scikit-learn

Pandas

Vertex AI

BigQuery

BigQuery ML

APIs

Microservices

Education

High school diploma or GED

Tools

Python

PyTorch

TensorFlow

Scikit-learn

Pandas

Vertex AI

BigQuery

BigQuery ML

APIs

Microservices

Job description

The Home Depot seeks a Sr Machine Learning Engineer to join a product team, designing and embedding ML algorithms into software products. Expect heavy collaboration, production readiness, and ongoing optimization across data, code, and systems. Emphasis on scalable ML, agentic AI, and enterprise data capabilities.

You will work with stakeholders across engineering and product teams, contributing to performance tuning, monitoring, and educational materials to improve adoption and reliability.