Unite.AI

OCTOBER 30, 2024

It is based upon integrating product names as an internal developer's platform designed to streamline the software development process. This article will explain platform engineering and its benefits and see how it boosts the entire software development cycle.

Software Development 130

Software Development IDP Automation Software Engineer 130

Unite.AI

FEBRUARY 21, 2024

He’s passionate about all things data and open source as he spends his spare time doing hackathons, prototyping new projects, and exploring the latest in data. Could you share your personal story of how you became involved with software engineering, and worked your way up to being CTO of Astronomer?

LLM 147

LLM Data Platform Software Engineer Chatbots 147

AWS Machine Learning Blog

MARCH 11, 2024

The new VistaPrint personalized product recommendation system Figure 1 As seen in Figure 1, the steps in how VistaPrint provides personalized product recommendations with their new cloud-native architecture are: Aggregate historical data in a data warehouse. Transform the data to create Amazon Personalize training data.

Machine Learning 120

Machine Learning Data Platform Software Engineer Data Scientist 120

Unite.AI

DECEMBER 13, 2024

Prior to Yanolja, Junyoung had a distinguished career at Google, where he worked for nearly two decades in various roles, including Software Engineer, Engineering Manager, and Engineering Director. Travel involves dreaming, planning, booking, and sharingprocesses that generate immense amounts of data.

Software Engineer 100

Software Engineer Data Quality Data Platform Automation 100

AWS Machine Learning Blog

JUNE 18, 2024

If useful, it can be further extended to a data lake platform that uses AWS Glue (a serverless data integration service for data preparation) and Amazon Athena (a serverless and interactive analytics service) to analyze and visualize data.

Generative AI 126

Generative AI Data Ingestion Python LLM 126

ODSC - Open Data Science

MARCH 22, 2024

The brilliant solution is pretty disruptive, and although I am a great believer in Data Mesh, particularly after the successful implementation at PayPal ( The next generation of Data Platforms is Data Mesh ), it involves a lot of changes at the organizational level. Here comes the data contract.

Software Engineer 52

Software Engineer Data Science Data Platform Explainability 52

AWS Machine Learning Blog

APRIL 9, 2025

Prior to his current role, he worked as a Software Engineer at AWS and other companies, focusing on sustainability technology, big data analytics, and cloud computing. Jed Lechner is a Specialist Solutions Architect at Amazon Web Services specializing in generative AI solutions with Amazon Q Business and Amazon Q Apps.

Generative AI 58

Generative AI Metadata Software Engineer Prompt Engineering 58

AWS Machine Learning Blog

MARCH 5, 2025

He has touched on most aspects of these projects, from infrastructure and DevOps to software development and AI/ML. After earning his bachelors degree in software engineering and a masters in computer vision and machine learning from Polytechnique Montreal, Philippe joined AWS to put his expertise to work for customers.

Generative AI 77

Generative AI LLM AI AI 77

ODSC - Open Data Science

OCTOBER 20, 2023

HPCC Systems — The Kit and Kaboodle for Big Data and Data Science Bob Foreman | Software Engineering Lead | LexisNexis/HPCC Join this session to learn how ECL can help you create powerful data queries through a comprehensive and dedicated data lake platform.

Data Science 52

Data Science NLP Machine Learning Data Analysis 52

The MLOps Blog

AUGUST 3, 2023

This is Piotr Niedźwiedź and Aurimas Griciūnas from neptune.ai , and you’re listening to ML Platform Podcast. Stefan is a software engineer, data scientist, and has been doing work as an ML engineer. As you’ve been running the ML data platform team, how do you do that?

ML 52

ML Data Scientist Software Engineer Machine Learning 52

ODSC - Open Data Science

JULY 19, 2023

Data Estate: This element represents the organizational data estate, potential data sources, and targets for a data science project. Data Engineers would be the primary owners of this element of the MLOps v2 lifecycle. The Azure data platforms in this diagram are neither exhaustive nor prescriptive.

Machine Learning 52

Machine Learning Data Drift Data Science Data Scientist 52

The MLOps Blog

OCTOBER 3, 2023

I started from tech, my first job was an internship at Google as a software engineer. I’m from Poland, and I remember when I got an offer from Google to join as a regular software engineer. A lot of the data scientists who worked there, especially the most successful ones, had prior experience as software engineers.

ML 52

ML Data Scientist Machine Learning Data Science 52

ODSC - Open Data Science

MARCH 18, 2025

Since 2022, she has been driving digital transformation, designing cloud architectures, and developing cutting-edge data platforms incorporating IoT, real-time analytics, machine learning, and generative AI. A published author on AI and large language models, she shares her expertise through insightful articles and technical writing.

Data Science 64

Data Science Machine Learning Software Engineer Data Scientist 64

AWS Machine Learning Blog

APRIL 8, 2025

Integrating model deployment into the service development process was a key initiative to enable data scientists and ML engineers to deploy and maintain those models. The ML platform empowers the building and evolution of ML systems. The iFoods ML platform, ML Go!

Machine Learning 65

Machine Learning ML Auto-complete Data Scientist 65

The MLOps Blog

MARCH 21, 2023

Automation You want the ML models to keep running in a healthy state without the data scientists incurring much overhead in moving them across the different lifecycle phases. It would make sure that all development and deployment workflows use good software engineering practices. My Story DevOps Engineers Who they are?

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69

AWS Machine Learning Blog

DECEMBER 18, 2024

Claudia Sacco is an AWS Professional Solutions Architect at BIP xTech, collaborating with Fastwebs AI CoE and specialized in architecting advanced cloud and data platforms that drive innovation and operational excellence. In his free time, Andrea is an avid reader and enjoys playing the piano to relax.

Large Language Models 97

Large Language Models Data Scarcity LLM Generative AI 97