Senior MLOps Engineer

November 21

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Twin Health

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Healthcare Insurance • Artificial Intelligence • Wellness

Twin Health is a company that focuses on improving the metabolic health of employees and health plan members by preventing and reversing chronic metabolic diseases. Utilizing proprietary Digital Twin AI technology, combined with smart devices, wearables, and a clinical care team, Twin Health provides personalized health recommendations. The solutions help in weight loss, lowering blood sugar levels, improving energy, mood, and sleep, and reducing dependency on costly medications by addressing the root causes of metabolic dysfunction. Their evidence-based programs deliver substantial health benefits, including considerable reduction in blood sugar levels, medication elimination, and overall metabolic health improvement, within six months.

201 - 500 employees

Founded 2018

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

🧘 Wellness

📋 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.

🎯 Requirements

• 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

🏖️ Benefits

• 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