AI Platform Engineer

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.