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AI Platform Engineer

Job

Insight Global

Remote

$145,000 Salary, Full-Time

Posted 4 days ago (Updated 22 hours ago) • Actively hiring

Expires 7/24/2026

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Job Description

AI Platform Engineer at Insight Global AI Platform Engineer at Insight Global in Gloucester City, New Jersey Posted in 1 day ago.
Type:
full-time
Job Description:
Title:
AI Platform Engineer /
Senior ML Ops Engineer Location:
Preferred:
Philadelphia, PA (commutable) |
Secondary:
East Coast (NY, DC, Boston, etc.) | Open to Remote (EST preferred)
Working Hours:
9am-5pm EST, some flexibility
Salary:
$145K base + 10% bonus
Must-haves:
3-5 years of experience as a AI Platform Engineer / Senior ML Ops Engineer Strong programming experience in Python Experience with ML frameworks (e.g., PyTorch) Hands-on experience deploying ML models into production environments Experience building and supporting scalable systems (not just modeling) Experience with CI/CD pipelines, cloud scalability, and performance optimization Strong understanding of AWS security best practices Experience working with structured and unstructured data
Plusses:
Experience with healthcare or clinical datasets Exposure to AI-driven or product-focused environments Experience supporting customer-facing applications Background balancing both ML development and cloud infrastructure responsibilities
Day-to-Day:
In this role, you will operate at the intersection of machine learning and cloud engineering, supporting AI-driven healthcare solutions and platforms. You will build, deploy, and optimize machine learning models using Python and frameworks like PyTorch, while ensuring scalability, reliability, and performance within AWS environments. Responsibilities include developing and maintaining CI/CD pipelines, managing cloud infrastructure, and supporting ingestion and processing of structured and unstructured data. You will partner closely with product, data science, and engineering teams in an agile environment to deliver production-ready AI features, evaluate system performance, and contribute to internally developed AI capabilities as new features and products scale across the organization.