MLops Engineer

A healthcare company growing it's team at rapid rates is looking to bring on a Machine Learning Ops Engineer to join the team! 100% remote!

  • Palo Alto, California
  • $150,000 - $175,000
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A bit about us:

A large healthcare organization based on the West Coast is looking to build out their data team by adding a Senior MLops Engineer to work on end to end solutions. You will be working with a team of developers to support machine learning engineers and AI and data scientists. Your mission is to provide your data scientist and ML engineer colleagues with deterministic AI/ML development and experimentation environments with access to highly available data and an elastic, distributed model training / model serving infrastructure.

100% remote, but must be located in PST.

Why join us?

  • Remote work
  • Flexible work schedule
  • 401(k) plan with company match
  • Employee stock purchase plan
  • A wide variety of health and insurance coverage
  • Flexible paid time off
  • Tuition reimbursement

Job Details


  • Has experience with building and managing distributed training and learning infrastructures and AI/ML pipelines
  • Has strong programming background. Fluency in Python and shell scripting required
  • Has experience with using IaC tools such as Terraform and configuration automation tools such as Ansible
  • Has robust software engineering skills, and a track record of building custom tools that fit internal needs
  • Has experience using Docker and container orchestration technologies such as Kubernetes
  • Experience developing systems on modern Linux environments.
  • Experience in deployment and management of cloud native infrastructure and services with an emphasis on performance and cost optimization. Google Cloud experience preferred.
  • 4+ years of total experience in a combination of software development, DevOps and ML Ops fields
  • 1+ year of experience supporting machine learning and AI teams
  • Bachelor’s degree in Computer Science or related fields (software engineering or equivalent)

Easy Apply Now
Easy Apply Now
Job Details
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Job Type
$150,000 - $175,000