Senior AI Platform Engineer

🕒 Junho 8

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $180.000 - $200.000 / ano

⏰ Tempo Integral

🟠 Sênior

🏗️ Engenheiro de Plataforma

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Twin Health

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2018

💼 Consultoria

📦 Logística

🏥 Saúde

Consulting • Logistics • Healthcare

A Twin Health é uma empresa que se concentra em melhorar a saúde metabólica de funcionários e membros de planos de saúde, prevenindo e revertendo doenças metabólicas crônicas. Utilizando a tecnologia proprietária Digital Twin AI, combinada com dispositivos inteligentes, wearables e uma equipe de cuidados clínicos, a Twin Health fornece recomendações de saúde personalizadas. As soluções auxiliam na perda de peso, redução dos níveis de açúcar no sangue, melhora da energia, humor e sono, e redução da dependência de medicamentos caros ao abordar as causas principais das disfunções metabólicas. Seus programas baseados em evidências oferecem benefícios substanciais à saúde, incluindo redução considerável dos níveis de açúcar no sangue, eliminação de medicamentos e melhora geral da saúde metabólica em seis meses.

Descrição

• 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.

🎯 Requisitos

• 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

🏖️ Benefícios

• A competitive compensation package in line with leading technology companies • A remote and accomplished global team • Opportunity for equity participation • 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 • 401k retirement savings plan