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Twin Health Logo

Senior MLOps Engineer

Twin Health

$180,000 - $200,000
Nov 21, 2025
Mountain View, CA, US
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Twin Health is looking to improve and prevent chronic metabolic diseases like type 2 diabetes and obesity by leveraging AI Digital Twin technology. The ML Ops Engineer will be instrumental in developing their machine learning platform and enhancing healthcare solutions.

Requirements

  • Familiarity with architectural frameworks of large, distributed, and high-scale ML applications. Experience in the implementation of applications using LLM's and GenAI is a huge plus.
  • Solid understanding of MLOps, data structures, and software design principles.
  • Proficiency in programming with Python and experience in other languages like Java or Go.
  • Strong knowledge in deploying scalable machine learning models, including experience with Docker, Kubernetes, and microservices architecture.
  • Experience with database technologies (e.g., SQL, NoSQL) and big data processing frameworks (e.g., Spark) is a plus

Responsibilities

  • Architect, design, and build robust and efficient AI/ML systems for a production environment, focusing on backend distributed systems, microservices, and ensuring system accuracy.
  • Lead cross-functional initiatives end-to-end (scoping, timelines, dependencies), driving alignment across Data, Infra and ML Engineering.
  • Collaborate closely with AI/ML engineers to optimize workflows for model training, real-time inference, monitoring, and troubleshooting
  • Be a subject matter expert on ML infrastructure, providing guidance to both internal teams and external stakeholders.
  • Ensuring operational excellence and reliability of ML systems. Define and enforce SLAs around system performance, including latency, throughput, and resource utilization.
  • Develop tools for effective model management, continuous monitoring, and enhancing the efficiency and effectiveness of the entire ML lifecycle.
  • Actively engage in mentorship and knowledge sharing to promote a culture of continuous learning and improvement within the team.

Other

  • The ideal candidate is self-driven, versatile in handling multiple projects, and a collaborative team player.
  • We value individuals who are adept at working with complex systems and possess exceptional communication and leadership skills.
  • Unlimited vacation with manager approval
  • 16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents
  • 100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options