Senior ML Ops Engineer — Remote, Equity, Impact

Twin Health; United States; On-site; USD 180,000 - 200,000; Full time

Benefits offered by this job

Unlimited vacation with manager approval

100% Employer sponsored healthcare

401k retirement savings plan

Opportunity for equity participation

Job summary

Twin Health is looking for a dynamic ML Ops Engineer to develop innovative machine learning platforms and enhance healthcare solutions. This position offers the chance to work in a collaborative environment and make a real impact on metabolic health.

The ideal candidate will have at least 5 years of experience in ML systems, strong programming skills in Python, and familiarity with container technologies like Docker and Kubernetes. Join Twin Health’s vibrant team and contribute to pioneering digital health advancements.

Qualifications

• 5+ years of industry experience in related fields.
• Expertise in architectural frameworks of ML applications.
• Proficiency in programming languages including Python, Java, or Go.

Responsibilities

• Architect, design, and build AI/ML systems.
• Lead end-to-end cross-functional initiatives.
• Collaborate with AI/ML engineers for process optimization.

Skills

Machine Learning

Python

Docker

Kubernetes

MLOps

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

SQL

NoSQL

Spark

Job description

Twin Health is looking for a dynamic ML Ops Engineer to develop innovative machine learning platforms and enhance healthcare solutions. This position offers the chance to work in a collaborative environment and make a real impact on metabolic health.

The ideal candidate will have at least 5 years of experience in ML systems, strong programming skills in Python, and familiarity with container technologies like Docker and Kubernetes. Join Twin Health’s vibrant team and contribute to pioneering digital health advancements.