Twin Health · 8 hours ago
Senior MLOps Engineer
Maximize your interview chances
Artificial Intelligence (AI)Health Care
No H1B
Insider Connection @Twin Health
Get 3x more responses when you reach out via email instead of LinkedIn.
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.
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
Company
Twin Health
Twin Health is a Precision Health platform combining Sensors, Machine Learning, and Medical Science to reverse chronic diseases.
Funding
Current Stage
Late StageTotal Funding
$248.5MKey Investors
Temasek HoldingsICONIQ GrowthSequoia Capital
2023-12-13Series D· $50M
2021-10-07Series C· $155M
2020-10-16Series B· $25.5M
Leadership Team
Recent News
2024-05-27
2024-05-26
Company data provided by crunchbase