98 applicants

Company

Twin Health · 6 hours ago

Senior MLOps Engineer

Remote, USA

Full-time

Remote

Senior Level

$150K/yr - $180K/yr

5+ years exp

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Artificial Intelligence (AI)Health Care

No H1B

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Responsibilities

Architect, design, and build robust and efficient ML systems for a production environment, focusing on backend distributed systems, microservices, and ensuring system accuracy.

Collaborate closely with data scientists 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.

Additional duties as assigned

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningPythonMLOpsDockerKubernetesMicroservicesJavaGoSQLNoSQLHadoopSparkData StructuresSoftware Design PrinciplesArchitectural FrameworksLLM’sGenAI

Required

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

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.

Preferred

Experience in the implementation of applications using LLM’s and GenAI is a huge plus

Benefits

A competitive compensation package in line with leading technology companies

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