DevOps/MLOps Engineer

Salary Competitive

Do you have a passion for delivering high quality software fast? Do you find scaling machine learning solutions an interesting challenge? Do you have an entrepreneurial spirit and can see yourself helping a start-up company to grow? Then you are the person we are looking for!  

We are currently looking for a skilled and passionate DevOps/MLOps Engineer to become part of our tech team at Silvi

 

Who are we?  Our vision is to improve the way scientific evidence is gathered and used. We in Silvi have developed a platform which summarizes scientific evidence in a fast and scientifically rigorous way using machine learning and artificial intelligence. More specifically, the Silvi platform enables faster and fully updated systematic literature reviews to support better decision making, prioritization of resources and update of patient treatment guidelines. The Silvi platform is currently focused on the Life Science industry, and we plan to spread into other scientific areas.  We are a small team located in Islands Brygge, Copenhagen, with an array of different cultural and educational backgrounds.  

 

Who are you? 

  • You have 2+ years of experience with working as a full-time DevOps/MLOps Engineer or in a similar role 

  • You have a good technical understanding of web applications and the infrastructure behind 

  • You understand machine learning and natural language processing 

  • You are curious about science and know about the scientific reviews 

  • You live within commuting distance to our office in Copenhagen, and have a Danish working permit 

  • You are a team player who is proactive and takes responsibility for the product 

 

You have practical experience with: 

  • Continuous Integration/Delivery and DevOps in GitLab or similar 

  • Cloud infrastructure such as AWS 

  • Docker and container orchestration solutions 

  • Deployment of machine learning models using tools like MLFlow 

  • Python on a basic level 

 

What will you do? 

As DevOps/MLOps Engineer you will be working with our, highly dedicated, and skilled development team on-site in our Copenhagen offices and have a close collaboration with our CTO. You will be providing technical leadership within the DevOps/MLOps domain and enable the team to utilize DevOps principles and best practices with solutions that works for our tech stack. You will mainly contribute to our python backend codebase as well as being responsible for our infrastructure including frontend code, databases and queue systems. Together with our CTO you will plan and deploy new releases of our software. 


We offer you

  • A company culture with large freedom, no micromanagement, and 100% focus on results 

  • A company core cultural value named "family first" which makes Silvi a place where work-life balance is not an issue 

  • A company where we have a clear vision of improving scientific evidence  

  • A diverse company at its core, that celebrates all ages, genders, geographies and qualifications 

For more information or questions please contact us at rhv@silvi.ai or phone number +45 61 28 96 94

Perks and benefits

This job comes with several perks and benefits

Near public transit
Near public transit

Free office snacks
Free office snacks

Paid holiday
Paid holiday

Remote work allowed
Remote work allowed

Social gatherings
Social gatherings

Free coffee / tea
Free coffee / tea

See all 9 benefits

Working at
Silvi

Silvi is a Copenhagen-based AI company that supports scientific research by speeding up literature reviewing and evidence synthesis. To quickly synthesize the growing body of scientific literature, without compromising transparency, Silvi combines the well-established evidence-based methodology with the emerging capabilities of AI. This approach is in line with the Nordic roots of the company priritizin transparency, honesty, and functional design. Silvi was founded by Professor Tove Holm Larsen, with extensive experience in evidence-based research, and Rasmus Hvingelby, with more than 10 years of experience in AI research.

Read more about Silvi

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