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.
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
Requirements
- 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)