Job
- Level
- Experienced
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg
- Working Model
- Onsite
Job Summary
In this role, you will develop efficient MLOps workflows, manage automated deployment processes, and conduct system testing in medical technology while collaborating closely with ML engineers and data scientists.
Job Technologies
Your role in the team
- As an MLOps/DevOps Engineer at FUSE-AI, you make an important contribution to the deployment of AI solutions in medicine.
- Become an MLOps and DevOps expert in the eHealth sector while working on exciting projects.
- You acquire important knowledge and skills through practical application.
- You work closely with our ML engineers and data scientists to enable the smooth development of ML-based software.
- You take responsibility in the MLOps workflow, particularly for unit, integration, system, and performance testing, product releases, and (automated) deployment of the software in the production environment with our medical partners.
- You design a continuous, automated monitoring system for overseeing the deployment pipeline and ML models in accordance with post-market surveillance.
- You actively design and improve our IT infrastructure, IT security, and ML environment, from servers to tooling.
- Learn together with the Regulatory Affairs and Quality Team to implement regulatory requirements for software as a medical device.
- Monitoring the deployment pipeline.
- Communication with external partners and clients.
This text has been machine translated. Show original
Our expectations of you
Education
- Successfully completed STEM degree or a solid training as an IT specialist.
Qualifications
- Excellent knowledge of modern agile software development and (automated) quality assurance, preferably with Python, Git, and Docker/Podman.
- Willingness to occasionally travel for work.
- Good communication and problem-solving skills.
- Independent, structured working style with a hands-on mentality.
- Very good German and English skills.
- Basic knowledge or strong interest in Machine Learning algorithms and their monitoring.
- Experienced in GNU/Linux and possessing a general understanding/interests in System Administration, IT Infrastructure, and IT Security.
This text has been machine translated. Show original
What we offer
- An exciting task together with a passionate team of experts in an important and meaningful mission.
- The promotion of your professional skills and support in your career planning.
- Flat hierarchies, appreciative interaction, trust, and regulated working hours.
This text has been machine translated. Show original
Benefits
More net
Topics that you deal with on the job
Job Locations
This is your employer
FUSE Integrierte Kommunikation und Neue Medien
We accompany companies through the digitalization process. We see our IT department as an IT intelligence lab. Curiosity and fun in the development of new projects - that's what drives us.
Description
- Founding year
- 1996
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Internet, IT, Telecommunication
MLOps / DevOps Engineer
- Location
- Hamburg
- Working Model
- Onsite
- Diversity
- Open for all genders
