? Unlock the full potential of your AI and ML teams We are excited to welcome Christos Hadjinikolis, Software Engineer at Vortexa, to discuss his journey from a purely data science role to software engineering. Christos and Bill Raymond discuss these two unique roles and the importance of connecting them as a team to deliver repeatable and sustainable data pipelines and software solutions to meet customer needs. Here is what you will learn: ✅ The role of data scientists ✅ The role of software engineering in machine learning efforts ✅ Collaboration challenges when data scientists and software engineers are not collaborating to deploy ML and AI solutions ? The unique roles each team member plays to ensure consistency and maintainability   Chapters: 00:00 Introduction 00:11 Christos Hadjinikolis' Background 01:00 The Role of a Data Scientist 02:59 The Role of a Machine Learning Engineer 03:48 Collaboration Between Data Scientists and Engineers 07:56 Challenges in Productionizing Data Science Models 10:11 Christos' Transition from Data Scientist to Engineer 25:24 Successful Integration of Data Science and Engineering Teams 27:11 Driving Success for Data Science and Engineering Teams 32:58 Conclusion and Final Remarks