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# Senior AI Platform Engineer

- **Company:** Twin Health
- **Location:** Mountain View, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $180,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Big Data, Computer Programming, Databases, Data Structures, Distributed Systems, Python (Programming Language), Machine Learning, NoSQL, SQL Databases, Large Language Models, Apache Spark, AI Platforms, Solid Principles, Kubernetes, Information Technology, Low Latency, Machine Learning Operations, Multiaccess Edge Computing, Docker, Microservices
- **Published:** June 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b70067ae55c291ea

## About the Role

Do you have experience in Tooling?, Are you ready to be at the forefront of integrating machine learning with healthcare technology? We are seeking a dynamic and innovative ML Ops Engineer. The ideal candidate is self-driven, versatile in handling multiple projects, and a collaborative team player. You will be instrumental in developing our cutting-edge machine learning platform and enhancing our existing healthcare solutions. We value individuals who are adept at working with complex systems and possess exceptional communication and leadership skills., * Bachelor's or Master's degree in Computer Science, Engineering, or a related field with 5+ years of industry experience

 * 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

## Description

* 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.


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