True ML Talks #7 | Machine Learning @Edge​

Описание: True ML Talks #7 | Machine Learning @Edge​
In today’s episode of TrueMLTalks, we have with us Rahul Kulhari, co-founder and head of data science at Edge. Edge is an AI-powered HRTech provider, predominantly focusing on simplifying and solving talent acquisition decisions using their talent acquisition, talent mobility, and internal talent marketplace products. We're going to dive into more details about the company in this video.

In our conversation with Rahul, we covered the following aspects:
✅Problems the data science team at Edge is solving
✅The structure of the Data science team at Edge
✅Innovations developed by data science team at Edge
✅Business impact of their ML models
✅Whether the platform offers upscaling modules for candidates
✅ML Challenges and pain points that the team is facing
✅Reasons behind switching from Seldon to TFServe for model deployment
✅Tools to help users set up their own MLOps pipeline

Liked the video? Like, comment, and subscribe for more!

_____________________________________
00:00 Start.
01:05 Overview of Rahul’s role at Edge and how it has evolved.
07:48 ML problems the team Edge at Edge is solving
14:46 The structure of the Data science and ML team at Edge
18:18 How are gaps between technical and business aspects of the product bridged?
21:48 Innovative solutions built by the ML team
32:06 Business impact of ML models
38:21 Overview of the upscaling module provided by the platform
40:10 ML Challenges and pain points that the team is facing
51:20 Reasons for switching from Seldon to TFServe
53:26 Tools for users to set up an MLOps pipeline

___________________________________
ABOUT OUR GUEST

Rahul co-founded Edge, a startup focused on solving talent acquisition and mobility problems through AI. He joined the company as a Data scientist and worked his way up to leading the data science team. With a passion for mathematics and early adoption of AI, he contributed to building the company's products and platform from scratch. Currently, he is responsible for executing the vision for the company while at the same time building the AI strategy and enabling AI across all of our products. His continuous learning through competitions, research papers, and meetups helped him grow and become an expert in the HR and AI landscape.

⚡Reach out to Rahul at the below link -   / rahulkulhari  

ABOUT THE COMPANY

Edge is an AI-powered HR technology platform that helps connect professionals to jobs and solve the toughest talent acquisition and transformation challenges for an organization. To do so in an efficient way, they have developed three different products: talent acquisition, talent mobility, and an internal talent marketplace.


ABOUT OUR CHANNEL

TrueMLTalks is a video series in which we interview machine learning industry professionals from companies such as Gong, StichFix, SalesForce, Facebook, Simpl, and others. We provide an insightful understanding of their experiences managing complex ML pipelines and developing successful best practices, making it a valuable resource for professionals looking to stay current on the latest advances in the field.

_____________________________________
ABOUT TRUEFOUNDRY

TrueFoundry is a cross-cloud machine learning deployment PaaS that enables enterprises to speed up model testing and deployment while maintaining full security and control for the Infra/DevSecOps team. We enable machine learning teams to deploy and monitor models in 15 minutes with 100% reliability and scalability, saving money and allowing models to be released into production faster, resulting in genuine business value. We deploy on the customer's infrastructure, taking data privacy and other security concerns into consideration.

⚡ A short ~4 min demo of the platform: https://t.ly/0fk1

Read our blog: http://blog.truefoundry.com/machine-l...

Subscribe to our newsletter: https://t.ly/oORp

Try our platform now - https://app.truefoundry.com/company-r...

Book a personalised demo - https://www.truefoundry.com/book-demo...

#machinelearning #hrtechnology #talentacquisition