ML DevOps Engineer (w/m/d) - Hybrid | Jobs at dida Datenschmiede GmbH

ML DevOps Engineer (w/m/d) - Hybrid

Permanent employee, Full or part-time · Berlin

Your mission

dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing. Our team tackles applied problems for different customers by using the latest scientific advancements (especially in deep learning). Because we believe that research oriented thinking can help to solve real-world problems more efficiently. And to contribute to this, your mission as a ML DevOps Engineer would be to:

shape the way we build, maintain and deliver Machine Learning solutions by implementing best practices across the company;
support machine learning scientists by performing various tasks, such as setting up deployment pipelines, managing auxiliary services, designing model training workflows, and establishing complex CI pipelines;
keep up to date with the best practices of DevOps and MLOps and educate your colleagues on your domain of expertise;
communicate technical details related to ML Operationalization with potential customers at early stages of our projects.

Your Profile

Professional hands on experience in MLOps, DevOps or similar fields,
university degree in Software Engineering, Mathematics, Informatics, Natural Sciences or similar fields,
strong programming skills in Python,
good knowledge of Git and CI/CD tools,
familiarity with containerization technologies like Docker and Kubernetes,
knowledge of modern cloud technologies and IaC tools,
experience with deploying machine learning model and managing them in production environment,
the ability and willingness to learn and to efficiently multitask.

Added bonus:

You already have some experience with DevOps Engineering in a ML context.
But don’t hesitate to apply, if you have not yet worked on many ML Projects. At dida we believe in educating each other and knowledge sharing!

Why us?

You will join an interdisciplinary team with a strong background in mathematics, physics and statistics.
In your role as an ML DevOps Engineer you will be working on most of our projects and products to support and shape their development and outcome.
We give you the opportunity to grow professionally with us and quickly assume significant responsibilities.
Ownership: We are in an exciting phase where you can actively contribute to shaping the development of dida.
Hybrid work model with flexible hours (full and part time). Work from your home office or our dida office, located in central Berlin Schöneberg (U-Bahn Kleistpark), providing excellent access to public transportation and a really good coffee machine.

Minimum Required Documents for Application:

Please include your CV and academic transcripts with your application.
Optional: If you have links to past projects or something else that might help us to get to know you better and that you would like to share with us, feel free to do so.

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About us

dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing. Our team tackles applied problems for different customers by using latest scientific advancements (especially in deep learning) and therefore believes that research oriented thinking can help solving real-world problems more efficiently.

At dida, we stand for equal opportunities, regardless of gender, nationality, ethnic background or disability. We encourage everyone, especially women, people of color, and people with disabilities to apply at dida.

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Your application!

We appreciate your interest in our company. Please fill in the following short form. Should you have any difficulties in uploading your files, please contact us by mail at jobs@dida.do.