Senior MLOps Engineer

Yesterday

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Description

• Twin Health empowers people to reverse, prevent and improve chronic metabolic diseases. • Working here involves being part of a passionate team aiming to create meaningful health impacts. • This role is at the forefront of integrating machine learning with healthcare technology, focusing on developing a cutting-edge machine learning platform.

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., Hadoop, Spark) is a plus • This remote opportunity is available to US based persons. Applicants must be authorized to work for any employer in the U.S.

Benefits

• A competitive compensation package in line with leading technology companies • As a remote friendly company we are committed to providing opportunities for all who join to further build relationships, increase cross-functional collaboration, and celebrate our accomplishments. • 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

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