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MLOps EngineeringLabs: What We Learned Building End-to-end ML Applications on Flyte
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MLOps EngineeringLabs: What We Learned Building End-to-end ML Applications on Flyte

Flyte is the backbone for large-scale Machine Learning and Data Processing (ETL) pipelines at Lyft, Spotify, BlackShark, and many others. It is used across business-critical applications ranging from ETA, Pricing, Mapping, Autonomous, and many more. At its core is a Kubernetes native workflow engine that executes 10M+ containers per month as part of thousands of workflows.

The talk will focus on:

What does a Simple ML User Journey look like?The sacrifices ML Practitioners have to do to achieve Robustness?How does Flyte help bridge the gap?

We will also provide some background on the March 2022 MLOps Engineering Labs in collaboration with the team behind Flyte, then go into lightning talks given by the three winning teams.

Speakers

Haytham Abuelfutuh
CTO @ Union.ai
Niels Bantilan
Machine Learning Engineer @ Union.ai
Amale El Hamri
ML Engineer @ Artefact
Ali Abbas Jaffri
Engineering Consultant @ ML Reply AG
Abdullahi Ahmed Omar
MLOps & Data Science Consultant @ Independent Consultant & Freelancer
Matheus Moreno
Machine Learning Engineer @ Hurb

Agenda

Track View
From4:00 PM, GMT
To4:15 PM, GMT
Tags:
Stage 1
Opening / Closing
Musical Intro
From4:15 PM, GMT
To4:30 PM, GMT
Tags:
Stage 1
Presentation
How Flyte Orchestrates Tasks

Flyte is the backbone for large-scale Machine Learning and Data Processing (ETL) pipelines at Lyft, Spotify, BlackShark, and many others. It is used across business-critical applications ranging from ETA, Pricing, Mapping, Autonomous, and many more. At its core is a Kubernetes native workflow engine that executes 10M+ containers per month as part of thousands of workflows.

The talk will focus on:

What does a Simple ML User Journey look like? The sacrifices ML Practitioners have to do to achieve Robustness? How does Flyte help bridge the gap?

+ Read More
Speakers:
Haytham Abuelfutuh
From4:30 PM, GMT
To4:40 PM, GMT
Tags:
Stage 1
Presentation
What We Learned Building End-to-end ML Applications on Flyte

This talk will provide some background on the March 2022 MLOps EngineeringLab in collaboration with the team behind Flyte, then go into lightning talks given by the three winning teams.

+ Read More
Speakers:
Niels Bantilan
From4:40 PM, GMT
To4:50 PM, GMT
Tags:
Stage 1
Presentation
Team Artefact Presentation

During this talk, Amale will present the business context and the implementation of their solution that they have submitted to the MLOps EngineeringLabs. They built 2 end-to-end pipelines on Flyte that train and apply a Named Entity Recognition model on Twitter posts to extract brands from them.

Implementation of a real-life business challenge using Flyte orchestrator Their feedback on Flyte

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Speakers:
Amale El Hamri
From4:50 PM, GMT
To5:00 PM, GMT
Tags:
Stage 1
Presentation
Team BraveHyenas2 Presentation

Ali and Omar are presenting for team BraveHyenas2.

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Speakers:
Ali Abbas Jaffri
Abdullahi Ahmed Omar
From5:00 PM, GMT
To5:10 PM, GMT
Tags:
Stage 1
Presentation
Team Vamos-Dalhe Presentation

The team's ability to develop a complex and resilient machine learning project in such a short period.

In this talk, Matheus will present the Vamos-Dalhe's project for the MLOps EngineeringLabs hackathon: a destination similarity algorithm capable of recommending other places to go based on a given location. They used a custom scraper to retrieve data from Wikimedia pages and build a dataset with Brazilian cities' information. Team Vamos-Dalhe then applied the BERTimbau language transformer to compute embedding vectors for the cities. Finally, the similarity was defined as the Euclidian distance between the vectors. They used Flyte to help develop and deploy the entire system.

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Speakers:
Matheus Moreno
From5:10 PM, GMT
To5:15 PM, GMT
Tags:
Stage 1
Opening / Closing
Q&A
From5:15 PM, GMT
To5:30 PM, GMT
Tags:
Stage 1
1:1 networking
Networking
Event has finished
April 20, 4:00 PM, GMT
Online
Event has finished
April 20, 4:00 PM, GMT
Online