Hacker Earth Developers Blog
JANUARY 18, 2023
Ashutosh: I have been a part of recruitment in the data science field for nearly 14 years of my career and have recruited for successful startups (seed to Series D) and MNCs across levels (entry, junior, mid and senior management) and profiles including data analysts, data scientist, ML engineers, full stack developers, and DevOps/MLOps.
TechCrunch
MAY 3, 2022
“There were no purpose-built machine learning data tools in the market, so [we] started Galileo to build the machine learning data tooling stack, beginning with a [specialization in] unstructured data,” Chatterji told TechCrunch via email. With Galileo, which today emerged from stealth with $5.1
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O'Reilly Media - Data
APRIL 11, 2018
On the extreme end of this applied math, they’re creating machine learning models and artificial intelligence. Just like their software engineering counterparts, data scientists will have to interact with the business side. That's primarily the job for system administrators or DevOps.
TechCrunch
DECEMBER 10, 2020
” It currently has a database of some 180,000 engineers covering around 100 or so engineering skills, including React, Node, Python, Agular, Swift, Android, Java, Rails, Golang, PHP, Vue, DevOps, machine learning, data engineering and more.
TechCrunch
MAY 3, 2022
” Sleuth’s solution is DevOps Research and Assessment (DORA) metrics, an emerging standard used by developer teams to measure how long it takes to deploy code, the average time for a service to bounce back from failures, and the how often a team’s fixes lead to issues post-deployment. .”
Mobilunity
JUNE 5, 2023
Artificial Intelligence (AI): Interpret sensor data, make decisions, and navigate traffic scenarios. It is a flexible and scalable solution that can manage large volumes of data and integrate with other systems and services. Self-driving vehicles are capable of navigating and operating without human intervention.
Apiumhub
MARCH 16, 2023
Conference Tracks There will be 9 different tracks at DeveloperWeek Europe, including: DevExec & DevLead – designed for executives and managers to learn more about technical leadership. AI & Machine Learning – features talks related to chatbots, machine learning, and open-source AI libraries.
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