🤝 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
