Senior ML Platform Engineer - Remote, Equity & Growth

Aimlroles; Northern (KY); Hybrid; USD 180,000 - 200,000; Full time

Benefits offered by this job

Remote global team

Equity participation

Unlimited vacation

Parental leave (16 weeks)

Healthcare for you

Job summary

Twin Health is seeking an ML Ops Engineer to help design and scale our cutting-edge ML platform for metabolic health. You will build backend distributed systems, lead cross-functional initiatives, and mentor peers across data, infra, and ML engineering.

You’ll work with Docker/Kubernetes, MLOps, and GenAI/LLMs to deliver reliable AI solutions for our clinical care team. Join a remote, globally distributed team with strong equity, healthcare benefits, unlimited vacation, and generous parental

Qualifications

• Bachelor's or Master's degree in CS/Engineering or related field.
• 5+ years of industry experience.
• Experience with ML platforms, LLMs and GenAI is a plus.
• Solid understanding of MLOps and software design.
• Proficiency in Python; Java or Go also listed.
• Experience deploying scalable ML models with Docker/Kubernetes.

Responsibilities

• Architect and build robust AI/ML systems for production, focusing on backend distributed systems.
• Lead cross-functional initiatives across Data, Infra and ML Engineering.
• Collaborate with AI/ML engineers to optimize training, inference, monitoring, and troubleshooting.
• Be SME on ML infrastructure and guide internal and external stakeholders.
• Ensure SLA, latency, throughput, and resource utilization.
• Develop tools for model management and lifecycle monitoring.
• Mentor team and promote continuous learning.

Skills

Python

Java

Go

Docker

Kubernetes

Distributed systems

LLMs / GenAI

Education

Bachelor's or Master's in CS/Engineering

Tools

Spark

Job description

Twin Health is seeking an ML Ops Engineer to help design and scale our cutting-edge ML platform for metabolic health. You will build backend distributed systems, lead cross-functional initiatives, and mentor peers across data, infra, and ML engineering.

You’ll work with Docker/Kubernetes, MLOps, and GenAI/LLMs to deliver reliable AI solutions for our clinical care team. Join a remote, globally distributed team with strong equity, healthcare benefits, unlimited vacation, and generous parental