Senior MLOps Engineer
Twin Health
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $180,000 - $200,000 per year
Job Level
Senior
Tech Stack
Distributed SystemsDockerGoJavaKubernetesMicroservicesNoSQLPythonSparkSQL
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI systemsML systemsbackend distributed systemsmicroservicesMLOpsdata structuressoftware design principlesPythonJavaGo
Soft skills
leadershipcollaborationmentorshipknowledge sharingcommunicationproblem-solvingorganizational skillscross-functional alignmentcontinuous learningoperational excellence