Remote Senior Backend Engineer - ML-Powered Search & MLOps

Insight Global (United States); Smyrna (GA); Remote; USD 72,000 - 74,000; Full time

Job summary

Insight Global seeks a Senior Backend Engineer to join The Home Depot’s Search Relevancy, Retrieval, and Ranking team on a fully remote basis. The role focuses on productionizing ML models and integrating them into the broader search platform.

You will build Java and Python APIs, work with Airflow/Cloud Composer pipelines for model training and deployment, and collaborate with Data Science to move models into production while supporting various search models and semantic retrieval.

Qualifications

• Python development experience.
• Backend/API development experience, ideally with Java exposure.
• GCP Cloud experience.
• MLOps experience, including model training, validation, deployment, and serving.
• Experience with Airflow / Cloud Composer or similar pipeline orchestration.
• Model serving and optimization experience.

Responsibilities

• Integrate retrieval, ranking, semantic search, and other ML models into the search platform.
• Build and support Java and Python APIs that serve ML/search functionality.
• Work with Cloud Composer/Airflow pipelines supporting model training, validation, optimization, and deployment.
• Own aspects of model serving and performance optimization.
• Work closely with Data Science to understand models and move them into production.
• Support multiple search models, including semantic retrieval and retrieval based on customer signals.
• Ramp into the broader search ecosystem over time.
• Heavily leverage AI-assisted development tools as part of the engineering workflow.

Skills

Python

Java backend

GCP

MLOps

Airflow/Cloud Composer

Model serving

APIs

NVIDIA Triton

Semantic search

Ranking/retrieval

AI development tools

Tools

Airflow

Cloud Composer

Claude

Gemini

Job description

Insight Global seeks a Senior Backend Engineer to join The Home Depot’s Search Relevancy, Retrieval, and Ranking team on a fully remote basis. The role focuses on productionizing ML models and integrating them into the broader search platform.

You will build Java and Python APIs, work with Airflow/Cloud Composer pipelines for model training and deployment, and collaborate with Data Science to move models into production while supporting various search models and semantic retrieval.