Position Details
About this role
This role involves developing and maintaining infrastructure and pipelines for machine learning workflows in a healthcare research environment.
Key Responsibilities
- Manage ML workflows and pipelines
- Implement and debug workflow scripts
- Manage Azure environments
- Optimize bioinformatics workflows
- Collaborate with data scientists
Technical Overview
The technical environment includes Azure cloud, Kubernetes, Docker, and workflow management tools like Valohai and NextFlow, focusing on bioinformatics and ML deployment.
Ideal Candidate
The ideal candidate is an MLOps engineer with experience in deploying and managing machine learning workflows using tools like Valohai, NextFlow, and cloud platforms such as Azure. They should have strong scripting skills and familiarity with container orchestration and bioinformatics workflows.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with ML workflows, No experience with Azure or Kubernetes, No scripting experience, Location outside preferred regions
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile