Senior AI Platform Engineer - Remote Equity & Unlimited PTO

twinhealth; United States; Remote; USD 180,000 - 200,000; Full time

Benefits offered by this job

Equity participation

Unlimited vacation

Parental leave

Healthcare coverage (medical, dental,

Job summary

twinhealth is seeking a Senior Platform Engineer to lead the design and operation of the ML infrastructure powering a metabolic care digital health platform. You will work at the intersection of backend distributed systems, MLOps, and applied AI, driving training, deployment, and monitoring in production.

This hands-on leadership role requires collaboration with Data, Infrastructure, and ML Engineering teams to ensure scalable, reliable systems and impactful ML workflows across the product.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field with 5+ years of industry experience.
• Solid grounding in MLOps, data structures, and software design principles.
• Hands-on experience deploying scalable ML models with Docker, Kubernetes, and microservices architecture.

Responsibilities

• Architect and build scalable AI/ML systems for production, including backend services, microservices, and pipelines that maintain model accuracy at scale.
• Lead cross-functional initiatives end-to-end, covering scoping, timelines, dependencies, and alignment across Data, Infrastructure, and ML Engineering.
• Partner with ML engineers to optimize workflows for model training, real-time inference, monitoring, and troubleshooting.
• Serve as a subject matter expert on ML infrastructure, advising internal teams and external partners on best practices.
• Define and enforce SLAs for system performance, including latency, throughput, and resource utilization, while driving operational reliability.
• Build tooling for model management, continuous monitoring, and lifecycle automation, and mentor teammates to raise the team's overall capability.

Skills

Python

Java/Go

MLOps

Docker

Kubernetes

Distributed systems

Model deployment

Education

Bachelor's or Master's in CS/Engineering

Tools

Microservices architecture

Job description

twinhealth is seeking a Senior Platform Engineer to lead the design and operation of the ML infrastructure powering a metabolic care digital health platform. You will work at the intersection of backend distributed systems, MLOps, and applied AI, driving training, deployment, and monitoring in production.

This hands-on leadership role requires collaboration with Data, Infrastructure, and ML Engineering teams to ensure scalable, reliable systems and impactful ML workflows across the product.