Machine Learning Engineer

Duration:  10 months (expected) C2H

Denver, CO (Remote)

Responsibilities

This is a potential CONTRACT TO HIRE so we can only accept USC's and for this role.

Any candidate who has healthcare experience will go to the TOP

 AI Dev and ML Ops teams are seeking a full time ML Ops Engineer to aid the migration of AI dev models to production.

Responsibilities

Deploy, operationalize, tune, and monitor models handed off by data scientists Build code and instrumentation to execute multiple concurrent experiments Support team in infrastructure for ML / AI integration and operating deployed models Design and architect solutions and integration points for execution by teams of aligned engineers (e.g. infrastructure, UIUX, security, mobile) Practical / applied ML pipeline experience DAG construction experience in a tool like Airflow, Argo, Prefect, or similar workflow orchestration tools Applied experience with Docker and exposure to reproducible environments in general i.e. Ansible or Jenkins Continuous integration experience Hands-on experience in DevOps

Applied experience in cloud development

Applied experience with large data migrations

Applied experience with Docker

Advanced python & SQL skills

Applied experience with Airflow or Cloud Composer

Applied experience w Git, Github, or GitLab

Exposure & understanding of Terraform

Working knowledge of cloud security & networking

Bachelor's Degree in Mathematics, Computer Science, or Engineering

Master's Degree preferred