After spending most of his career as a full-stack Data Scientist/ML Engineer, Leonard has shifted focus towards MLOps. Leonard is currently driving machine learning engineering and operations at Volvo Cars. In particular, how to effectively reap its benefits at an enterprise scale. Leonard introduces Volvo Cars ML stack and related work focused on stitching these services together in order to reduce friction in the ML value stream. Furthermore, we discuss some learnings along the way and general thoughts around what it takes to lay a solid ML foundation in a company like Volvo Cars.
In this episode
Head of Machine Learning Engineering & Operations, Volvo Cars
Leonard is driving ML Engineering and Operations at Volvo Cars. He is responsible for defining the overall mission and strategy for ML Engineering and Operations, leading the build of reproducible ML systems. Leonard Aukea has spent most of his career as a Data Scientist/ML Engineer. Leonard lives in Gothenburg, Sweden with his wife and two kids.
Demetrios is one of the main organizers of the MLOps community and currently resides in a small town outside Frankfurt, Germany. He is an avid traveller who taught English as a second language to see the world and learn about new cultures. Demetrios fell into the Machine Learning Operations world, and since, has interviewed the leading names around MLOps, Data Science, and ML. Since diving into the nitty-gritty of Machine Learning Operations he felt a strong calling to explore the ethical issues surrounding ML. When he is not conducting interviews you can find him making stone stacking with his daughter in the woods or playing the ukulele by the campfire.