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Research Engineer for Medical AI and MLOps - Fysikum, Stockholm University
Summary by AIEngineer.careers
Research Engineer for Medical AI and MLOps - Fysikum, Stockholm University is a AI Infrastructure Engineer role (full-time). with Stockholms Universitet. in STOCKHOLM, SE. Imported listing (source: statsskuld.se). Apply on the employer's site (statsskuld.se).
Imported listing (source: statsskuld.se) · Apply on statsskuld.se
STOCKHOLM · SE
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from statsskuld.se
Stockholm University's Fysikum is seeking a Research Engineer to build and manage high-performance AI platforms specifically for medical data analysis. This role focuses on implementing MLOps practices and infrastructure using Python and Kubernetes to support research initiatives in medical imaging and machine learning.
Responsibilities
- Build and maintain high-performance AI platforms for medical data analysis
- Implement and manage MLOps pipelines and workflows
- Deploy and orchestrate applications using Kubernetes
- Support research teams with technical infrastructure needs
Requirements
- Experience with Python programming
- Proficiency with Kubernetes container orchestration
- Solid understanding of MLOps principles and tools
- Ability to work in an academic research environment
Nice to Have
- Background in medical imaging or healthcare data
- Experience with cloud-based AI infrastructure
- Familiarity with statistical salary models (SCB)
Tech Stack
Stockholms Universitet
Stockholm · SE · 5401+ employees
Stockholm University is a leading research university offering a wide range of education and research in human science and science. It contributes to the development of a sustainable democratic society through knowledge, enlightenment, and the pursuit of truth based on critical thinking.
