MLOps Architect - Danny Leybzon

1

Introduction

00:00 • 5min

2

MLOps Architecture - What Do You Do Today?

05:07 • 2min

3

YLabs Architect - Is This What MLOps Is For?

07:24 • 2min

4

MLOps Architect

09:13 • 3min

5

How Can You Convince an Employer That You Can Do All These Things?

12:36 • 2min

6

Wylads Founders Interview Process

14:29 • 3min

7

Wasn't It Scale for You?

17:16 • 3min

8

MLOps Lifecycle Management

20:18 • 5min

9

Y Labs Can Help With Model Development

24:49 • 2min

10

Are You Still Monitoring Your Machine Learning Models?

26:22 • 2min

11

Is Apache Druid a Good Fit for This Particular Problem?

28:50 • 2min

12

Do You Have a Platform Agnostic Approach to Inference Architecture?

30:59 • 2min

13

Is Onyx Getting Wider Adoption?

33:06 • 3min

14

Machine Learning and Data Science - What's the Most Rewarding Thing for You?

35:40 • 1min

15

DevRel Product Marketing Community Management - What's Your Secret?

37:10 • 2min

16

Optimization Theory - Exploring the Search Space and Exploiting Full Time?

39:21 • 3min

17

Is There a Demand for Engineers?

42:19 • 4min

18

Are There Courses About Being an Effective Googler?

46:40 • 2min

19

What Are the Key Functional Differences Between Wild Labs and SaaS?

49:05 • 2min

20

The Wild Labs, Multiple Zoom Accounts?

51:18 • 2min