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MLOps Engineer
Stanford Health Care · Newark, CA · Infrastructure
Compensation
$79.21 – $104.97 /yr
Employment type
Full-time
Work setting
On-site
Location
Newark, CA
Schedule
Day shift
Posted
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Job overview
MLOps Engineer in Newark, CA. This is an onsite position with a salary range of $79.21 - $104.97 per hour. This role is integral to incorporating Artificial Intelligence (AI) within Stanford Health Care, impacting patient care, medical research, and operational services by building and deploying production-grade AI and machine learning systems.
What you'll do
- Design, build and maintain scalable and robust infrastructure for AI/ML systems, including cloud-based environments, containerization and orchestration platforms.
- Develop and implement CI/CD pipelines to automate the deployment, testing and monitoring of AI/ML models and applications.
- Collaborate with data scientists, data engineers and software engineers to optimize model training, deployment and inference pipelines.
- Monitor and troubleshoot AI/ML systems to ensure high availability, performance and reliability.
- Maintain and monitor model training and inference pipelines across multi-cloud tenants especially around Large Language Models (LLMs).
- Maintain Kubernetes pods, container registry and virtual machine image library and model registry.
- Monitor infrastructure utilization and costs pertaining to model training, inference and GPU utilization.
- Implement best practices for security, data privacy and compliance in AI/ML workflows and infrastructure.
- Evaluate and integrate new tools, technologies and frameworks to improve the efficiency and effectiveness of our MLOps processes.
- Mentor and provide technical guidance to junior members of the organization.
- Stay up-to-date with the latest advancements and trends in MLOps, DevOps and cloud technologies and share them with the team.
What we're looking for
- Education
- Bachelor's or higher degree in Computer Science, Engineering or a related field.
- Experience
- Three (3) or more years of directly related experience.
- Skills & competencies
- mlops engineernewark castanford health carefull-timeday shiftaimachine learningdevopscloud computingkubernetesterraformpythonhealthcare technology94560ca
About the employer
Stanford Health Care is hiring for this role. Industry: General Medical and Surgical Hospitals. Sector: 62.
Additional details
- Industry sector
- 62
- Industry
- General Medical and Surgical Hospitals
- Occupation code
- 17-2031.00
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Listing ID: b9b83423-3d59-441e-af42-b2bc247a31e0