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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 engineer
newark ca
stanford health care
full-time
day shift
ai
machine learning
devops
cloud computing
kubernetes
terraform
python
healthcare technology
94560
ca

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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