Bridging AI data science and engineering: A personal journey

🤝 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