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Insight Global

Senior Software Engineer

Remote, United States

From $54 USD / hour

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Job details

Pay: From $54 USD / hour
Posting language: English
Posted: Nov 3, 2026

Original job description

Required Skills & Experience

Python development experience
Backend/API development experience, ideally with Java exposure as well
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 ○ NVIDIA Triton is what the team uses, but Triton itself is not required
Experience building scalable APIs
Comfortable understanding ML models and integrating them into production systems
Hands-on experience using AI development tools such as Claude or Gemini to improve engineering productivity

Nice to Have Skills & Experience

Search, retrieval, relevancy, or ranking experience
Semantic search experience
Ranking/retrieval model experience
NVIDIA Triton
Strong combination of Java + Python
Prior exposure to ML-powered search platforms
Ability to work across different backend technologies rather than being narrowly specialized

Job Description

Senior backend engineer supporting The Home Depot’s Search Relevancy, Retrieval, and Ranking team. This person will help productionize and integrate machine learning models developed by Data Science into the broader search platform. The role sits at the intersection of backend software engineering and MLOps. It is not a Data Scientist position and is not focused on building/tuning models from a pure Data Science perspective.

Day to Day:

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 successfully 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 rather than remaining narrowly focused on MLOps.
Heavily leverage AI-assisted development tools as part of the engineering workflow.

This is a fully remote opportunity with a requirement of working CST or EST Hours. Limited travel may be required for planning and collaboration sessions. Compensation includes a target hourly rate of $52-$54/hr, with conversion salary negotiable.

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