This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Gen AI-related job listings were particularly common in roles such as data scientists and dataengineers, and in software development. Hiring AI talent US IT staffing firm Motion Recruitment found that AI engineers saw over a 12% growth in salaries compared to a year ago, and mid-level workers saw a 20% increase.
Ghodsi took over as CEO in 2016 after serving as the company’s VP of engineering. Let’s say that a company has a lot of data on its machinery and wants to know when different pieces are going to fail. Or, perhaps a company wants to find patterns in some economic data. How do they find that information?
A few months ago, I wrote about the differences between dataengineers and data scientists. An interesting thing happened: the data scientists started pushing back, arguing that they are, in fact, as skilled as dataengineers at dataengineering. Let’s call this data scientist Bob.
This is a guest post by Eunice Do , DataEngineer at TripleLift , a technology company leading the next generation of programmatic advertising. What is the name of your system and where can we find out more about it? The system is the data pipeline at TripleLift. Why did you decide to build this system?
Also, after this event, we had a meeting with our Principal Engineer and software development team to discuss this topic as we noticed that in each company it is slightly different. So, in this article, you will find common patterns as well as our definition of Principal Engineer based on our experience.
Everyone was looking for real-time insights by analyzing what is going on currently within their businesses and taking corrective action pro-actively. Cloudera DataFlow (CDF), the industry’s leading real-time streaming data platform, was truly at the frontlines helping our customers find clarity with their data during these dark times.
For this piece, I interviewed a select group of successful ML leaders including Sambhus; Lior Gavish , co-founder at Monte Carlo; and Yotam Hadass , VP of engineering at Electric.ai, for their insights. ML recruiting strategy. Recruiting for ML comes with several challenges. Image Credits: Snehal Kundalkar.
We organize all of the trending information in your field so you don't have to. Join 49,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content