{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"Bridging AI data science and engineering: A personal journey","description":"\ud83e\udd1d 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:  \u2705 The role of data scientists \u2705 The role of software engineering in machine learning efforts \u2705 Collaboration challenges when data scientists and software engineers are not collaborating to deploy ML and AI solutions \ud83c\udf89 The unique roles each team member plays to ensure consistency and maintainability &amp;nbsp; 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 ","author_name":"Agile in Action with Bill Raymond","author_url":"https:\/\/www.agileinaction.com","html":"<iframe title=\"Libsyn Player\" style=\"border: none\" src=\"\/\/html5-player.libsyn.com\/embed\/episode\/id\/28424264\/height\/90\/theme\/custom\/thumbnail\/yes\/direction\/forward\/render-playlist\/no\/custom-color\/88AA3C\/\" height=\"90\" width=\"600\" scrolling=\"no\"  allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen><\/iframe>","thumbnail_url":"https:\/\/assets.libsyn.com\/secure\/item\/28424264"}