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Non-traditional Career Paths in MLOps // Matthew Dombrowski // MLOps Podcast #144

Feb 7, 2023

48:09

Creator website

Highlights

AI Chapters

Episode notes

Machine Learning Specialist Solutions Architect

02:35

Are You the Best Communicator in the Room?

02:18

How Do You Get Into ML Ops Right Now?

03:16

Introduction

5min

Is There a Difference Between Solutions Architect and Product Manager?

2min

Machine Learning - What's the Biggest Opportunity Out There?

3min

Non-Traditional Career Paths in ML

5min

Machine Learning Specialist Solutions Architect

3min

Transitioning From a Technical Implementer to an AI PM?

3min

Are You the Best Communicator in the Room?

2min

MLOps Community Podcast

3min

Machine Learning

3min

10.

What Are the Main Activities That You're Doing at Amazon?

4min

11.

Dev Re and MLOps and Machine Learning Engineering Space

2min

12.

What Are Some Tricks That You Learned While Doing That?

5min

13.

Is ML a Good Career Path?

3min

14.

How Do You Get Into ML Ops Right Now?

3min

15.

Networking Machine Learning Meetups That Are Happening All Over the World

2min

MLOps Coffee Sessions #144 with Matthew Dombrowski, Non-traditional Career Paths in MLOps co-hosted by Mihail Eric.

// Abstract
Let's explore the different aspects of ML and data roles and the variety of responsibilities each role entails! This conversation emphasizes the need for understanding the unique insights each role provides and the similarities in responsibilities and soft skills that are required across different roles.

This episode also highlights the significance of stakeholder alignment in the context of working in big companies and the importance of navigating these complexities for a successful career in ML.

// Bio
Matt has performed a number of MLOps positions including Solutions Consultant, Solutions Architect, and Product Manager from startups to large organizations. In his current role, Matt builds tools to help social media influencers discover unique and exciting Amazon products to recommend to their audiences.

// MLOps Jobs board
https://mlops.pallet.xyz/jobs

// MLOps Swag/Merch
https://mlops-community.myshopify.com/

// Related Links

--------------- ✌️Connect With Us ✌️ -------------
Join our slack community: https://go.mlops.community/slack
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register
Catch all episodes, blogs, newsletters, and more: https://mlops.community/

Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Mihail on LinkedIn: https://www.linkedin.com/in/mihaileric/
Connect with Matt on LinkedIn: https://www.linkedin.com/in/matthewdombrowski/

Timestamps:
[00:00] Matt's preferred coffee
[00:28] Mihail's new creation
[05:09] Introduction to Matthew Dombrowski
[06:02] Takeaways
[08:30] Pizza and coffee nerds
[10:54] Data careers
[13:35] Matt's progression through the ml sphere
[20:10] Dealing with machine learning
[23:20] Transition from deep technical implementer to PM role
[27:42] Data is a product
[29:30] From start-ups to big companies
[32:41] Ambiguity of ML
[36:17] Matt's daily routine
[40:23] Social media influencers
[42:07] Developer advocate
[44:00] Stakeholder alignment
[49:41] Non-traditional career paths military influence
[54:11] Good ways to recommend people to get into ML
[57:56] MLOps Meetups all over the world
[59:00] Wrap up