MLOps in Practice: Common Challenges and Lessons Learned

Graduating in 2017 with a degree in Software engineering specializing in intelligent and decision support systems, Marouen has worked for different companies in different industries getting involved in projects of different maturities and different scopes with them being data products as the common denominator.

Marouen experienced the need for MLOps firsthand before the concept became mainstream, and he has even started applying the different principles in a few of the projects that he has been involved in from a need basis.

Marouen joined ML Reply in mid-2021 and has been working on supporting their different clients through their MLOPS journey as well as raising their company's collective knowledge on MLOps ever since.

Mo is a senior consultant working for MLReply since 2021. Mo led system architecture and design, set up MLOps pipelines, and built and deployed ML apps (on cloud and on-prem) for top clients in Germany.

Mo also leads the team of the MLOps community of practice at MLReply, where they enable their internal and external capacities of MLOps practices. Backed by a strong background in software engineering, Mo also received a Ph.D. degree in information systems in 2020.