Keywords
MLOps | Cloud | Kubernetes
As a MLOps-engineer at UAI, you enable the machine learning engineers to build, operate and ship models and to manage data in an efficient way. Having teams that are responsible for a product end to end, you will work in a team of machine learning engineers and collaborate closely with our DevOps experts across teams.
The role is a blend of system and software engineering where coding and automation are essential. Furthermore you can drive the implementation of particular solutions and distribute your knowledge to the other team-members. You embody the philosophies of DevOps with a greater focus on measuring and achieving reliability through engineering and operations work.
Understand.ai was founded in 2017 with the vision in mind to make AI accessible to everyone. To achieve this goal, we’re solving the data problem of AI. The tooling and services provided by understand.ai enable our customers to get the right data, at the right quality and right quantity, to make production-grade AI products a reality. Join us to become part of this journey!
Headquartered in Karlsruhe, our team has grown to more than 80 employees since 2017 and is part of the dSPACE Group since 2019. dSPACE is a market innovator and leader in providing solutions and systems for embedded controller software development in the Automotive, Aerospace, and Manufacturing industries. Founded in Germany in 1988, dSPACE employs over 2200 people worldwide, who are committed to making the embedded controls software development process more efficient through innovative tools and services.
Due to our success in growing customer numbers and projects, we need to scale our structure and team sizes in order to continue providing excellent service. Our goal is to make our customers happy and our employees happy. We offer a variety of benefits, but more importantly, we offer an interesting & meaningful work environment and responsibilities, on which you can work with a great level of autonomy.
We can’t wait to see what kind of future you choose to build at UAI - so click on the “apply for this position” button and together create the gold standard for ground truth data for autonomous transportation!