TheSequence

DECEMBER 1, 2023

At Flo Health, the maker of the most popular women’s health app in the world, ML is an engineering discipline — and as a quickly growing company, their ML team faces significant operational challenges, such as a disjointed approach to ML, with systems spread across the company.

ML Engineer 52

ML Engineer ML 52

Analytics Vidhya

OCTOBER 6, 2023

Ray streamlines complex tasks for ML engineers, data scientists, and developers. Python Ray is a dynamic framework revolutionizing distributed computing. Developed by UC Berkeley’s RISELab, it simplifies parallel and distributed Python applications.

Python 290

Python ML Engineer Data Scientist ML 290

Eugene Yan

NOVEMBER 7, 2020

A personal take on their deliverables and skills, and what it means for the industry and your team.

ML Engineer 100

ML Engineer ML 100

Analytics Vidhya

JUNE 12, 2023

Introduction Meet Tajinder, a seasoned Senior Data Scientist and ML Engineer who has excelled in the rapidly evolving field of data science. Tajinder’s passion for unraveling hidden patterns in complex datasets has driven impactful outcomes, transforming raw data into actionable intelligence.

Data Scientist 258

Data Scientist Machine Learning Actionable Intelligence ML Engineer 258

Analytics Vidhya

FEBRUARY 21, 2022

Image designed by the author – Shanthababu Introduction Every ML Engineer and Data Scientist must understand the significance of “Hyperparameter Tuning (HPs-T)” while selecting your right machine/deep learning model and improving the performance of the model(s). This article was published as a part of the Data Science Blogathon.

ML Engineer 314

ML Engineer Data Scientist Deep Learning Data Science 314

Analytics Vidhya

OCTOBER 22, 2021

This article was published as a part of the Data Science Blogathon Introduction Working as an ML engineer, it is common to be in situations where you spend hours to build a great model with desired metrics after carrying out multiple iterations and hyperparameter tuning but cannot get back to the same results with the […].

Machine Learning 298

Machine Learning ML Engineer Data Science ML 298

Analytics Vidhya

JANUARY 28, 2022

Introduction A Machine Learning solution to an unambiguously defined business problem is developed by a Data Scientist ot ML Engineer. This article was published as a part of the Data Science Blogathon.

ML 275

ML ML Engineer Data Scientist Machine Learning 275

Towards AI

MARCH 14, 2024

I mean, ML engineers often spend most of their time handling and understanding data. So, how is a data scientist different from an ML engineer? Well, there are three main reasons for this confusing overlap between the role of a data scientist and the role of an ML engineer.

Data Science 96

Data Science ML Engineer Data Scientist ML 96

Flipboard

DECEMBER 12, 2023

Whether you're a seasoned ML engineer or a new LLM developer, these tools will help you get more productive and accelerate the development and deployment of your AI projects.

LLM 130

LLM ML Engineer ML AI 130

AI News

JULY 28, 2023

According to a recent report by Harnham , a leading data and analytics recruitment agency in the UK, the demand for ML engineering roles has been steadily rising over the past few years. AI and machine learning are reshaping the job landscape, with higher incentives being offered to attract and retain expertise amid talent shortages.

ML 193

ML ML Engineer Natural Language Processing Big Data 193

AI News

MARCH 8, 2024

A job listing for an “Embodied Robotics Engineer” sheds light on the project’s goals, which include “designing, building, and maintaining open-source and low cost robotic systems that integrate AI technologies, specifically in deep learning and embodied AI.”

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Robotics Big Data Deep Learning ML Engineer 226

ODSC - Open Data Science

FEBRUARY 9, 2023

That responsibility usually falls in the hands of a role called Machine Learning (ML) Engineer. Having empathy for your ML Engineering colleagues means helping them meet operational constraints. To continue with this analogy, you might think of the ML Engineer as the data scientist’s “editor.”

Data Scientist 105

Data Scientist Machine Learning ML Engineer ML 105

AWS Machine Learning Blog

DECEMBER 19, 2023

Artificial intelligence (AI) and machine learning (ML) are becoming an integral part of systems and processes, enabling decisions in real time, thereby driving top and bottom-line improvements across organizations. However, putting an ML model into production at scale is challenging and requires a set of best practices.

Machine Learning 107

Machine Learning ML Engineer DevOps ML 107

Flipboard

FEBRUARY 28, 2023

As a result, the AI production gap, the gap between “that’s neat” and “that’s useful,” has been much larger and more formidable than ML engineers first anticipated. Fortunately, as more and more ML engineers have embraced a data-centric approach to AI development, the implementation of active learning strategies have been on the rise.

Generative AI 126

Generative AI ML Engineer Robotics Computer Vision 126

Towards AI

JANUARY 30, 2024

ML Engineers(LLM), Tech Enthusiasts, VCs, etc. Anybody previously acquainted with ML terms should be able to follow along. How advanced is this post? Replicate my code here: [link] or through Colab PPO stands for proximal policy optimization in the context of solving RF problems.

Explainability 106

Explainability LLM ML Engineer ML 106

Marktechpost

JANUARY 31, 2024

Data scientists and ML engineers often need help to build full-stack applications. These professionals typically have a firm grasp of data and AI algorithms. Still, they may need more skills or time to learn new languages or frameworks to create user-friendly web applications.

Data Scientist 133

Data Scientist Machine Learning Python ML Engineer 133

Pickl AI

APRIL 19, 2023

Different industries from education, healthcare to marketing, retail and ecommerce require Machine Learning Engineers. Job market will experience a rise of 13% by 2026 for ML Engineers Why is Machine Learning Important? Accordingly, an entry-level ML engineer will earn around 5.1 Consequently.

Machine Learning 52

Machine Learning ML Engineer Data Scientist ML 52

TheSequence

OCTOBER 13, 2023

Event Details - Date: Tuesday, November 14 - Time: 9:30AM – 3:00PM PT - Location: Virtual REGISTER NOW

ML Engineer 52

ML Engineer Software Engineer Software Development Data Scientist 52

TheSequence

JANUARY 26, 2024

Want to know how FanDuel engineered and built a powerful ML platform to handle hundreds of millions of data rows and evaluate millions of results—all to deliver personalized experiences to their users?

Machine Learning 52

Machine Learning ML Engineer ML 52

TheSequence

MAY 26, 2023

Want to connect with the ML engineering community and learn best practices from ML practitioners on how to build risk and fraud detection systems? Francisco Arceo, Engineering Manager at Affirm , will discuss the common pitfalls and share simple approaches to avoiding them.

ML 52

ML ML Engineer Software Engineer Data Scientist 52

Eugene Yan

JANUARY 16, 2019

What's the difference between a data scientist, data engineer, and ML engineer? A panel at Google.

ML Engineer 130

ML Engineer Data Scientist ML 130

Towards AI

FEBRUARY 15, 2024

AI Engineers: Your Definitive Career Roadmap Become a professional certified AI engineer by enrolling in the best AI ML Engineer certifications that help you earn skills to get the highest-paying job. Author(s): Jennifer Wales Originally published on Towards AI.

AI Engineer 104

AI Engineer Software Engineer Artificial Intelligence Artificial Intelligence 104

Marktechpost

AUGUST 8, 2023

In the ever-evolving landscape of machine learning, feature management has emerged as a key pain point for ML Engineers at Airbnb. A Seamless Integration for Airbnb’s ML Practitioners Chronon has proven to be a game-changer for Airbnb’s ML practitioners.

Machine Learning 98

Machine Learning ML Engineer Data Ingestion ML 98

Marktechpost

JANUARY 10, 2024

It also automates feature engineering, a task traditionally handled solely by ML engineers, saving time and reducing the risk of errors. The AutoML framework streamlines the content moderation classifier development process, significantly reducing the time required for model development and re-training.

Machine Learning 90

Machine Learning Continuous Learning Automation ML Engineer 90

ODSC - Open Data Science

SEPTEMBER 21, 2023

Secondly, to be a successful ML engineer in the real world, you cannot just understand the technology; you must understand the business. Yes, these things are part of any job in technology, and they can definitely be super fun, but you have to be strategic about how you spend your time and always be aware of your value proposition.

Machine Learning 98

Machine Learning ML Engineer ML Data Science 98

IBM Journey to AI blog

AUGUST 11, 2023

How to use ML to automate the refining process into a cyclical ML process. Initiate updates and optimization—Here, ML engineers will begin “retraining” the ML model method by updating how the decision process comes to the final decision, aiming to get closer to the ideal outcome.

Data Science 146

Data Science DevOps Machine Learning Data Scientist 146

TheSequence

JULY 7, 2023

Discover FanDuel's journey in building a powerful ML platform for personalized experiences. Join the webinar on July 11 at 9 a.m. PT to learn how they scaled their platform and lessons learned.

Machine Learning 52

Machine Learning ML Engineer ML 52

Flipboard

JUNE 20, 2023

Machine learning (ML) engineers have traditionally focused on striking a balance between model training and deployment cost vs. performance. This is important because training ML models and then using the trained models to make predictions (inference) can be highly energy-intensive tasks.

Machine Learning 94

Machine Learning BERT Deep Learning ML Engineer 94

Pickl AI

APRIL 5, 2023

What Are The Job Responsibilities of an ML Engineer? However, a basic understanding of programming can help you optimise the algorithm. Thus, simplifying your learning curve.

Machine Learning 52

Machine Learning ML Engineer ML Data Scientist 52

Unite.AI

FEBRUARY 15, 2024

The people aspect underlines the need for skilled AI/ML engineers, data scientists, and software developers. Data readiness emphasizes the importance of high-quality training data, while concerns about data privacy and security are also raised.

Generative AI 100

Generative AI ML Engineer AI AI 100

Unite.AI

JUNE 29, 2023

The Vertex AI platform has gained growing popularity among clients as it accelerates ML development, slashing production time by up to 80% compared to alternative methods. It offers an extensive suite of ML Ops capabilities, enabling ML engineers, data scientists, and developers to contribute efficiently.

ML 262

ML AI AI Machine Learning 262

Towards AI

JANUARY 27, 2024

By configuring hyperparameters as per specific requirements and leveraging the library’s customizable search space, AutoKeras proves to be a valuable tool for data scientists and ML engineers. References [link] [link] U+2709️mkk.rakesh@gmail.com Join thousands of data leaders on the AI newsletter.

Deep Learning 103

Deep Learning Explainability ML Engineer Data Scientist 103

TheSequence

JANUARY 19, 2024

You probably don’t need ML engineers In the last two years, the technical sophistication needed to build with AI has dropped dramatically. ML engineers used to be crucial to AI projects because you needed to train custom models from scratch. At the same time, the capabilities of AI models have grown.

Prompt Engineer 59

Prompt Engineer Prompt Engineering Generative AI Large Language Models 59

AWS Machine Learning Blog

FEBRUARY 13, 2024

Let’s demystify this using the following personas and a real-world analogy: Data and ML engineers (owners and producers) – They lay the groundwork by feeding data into the feature store Data scientists (consumers) – They extract and utilize this data to craft their models Data engineers serve as architects sketching the initial blueprint.

ML 108

ML ML Engineer Machine Learning Data Scientist 108

deepsense.ai

APRIL 18, 2023

experts will share insights on various areas of machine learning latest developments: April 20, 2023: workshop “Large language models in limited hardware environments” conducted by Adam Maciaszek, Senior Data Scientist, and Szymon Janowski, ML Engineer April 21, 2023: presentation “What do we learn by fooling GPT?”

Machine Learning 52

Machine Learning Data Scientist Large Language Models ML Engineer 52

AWS Machine Learning Blog

MARCH 22, 2024

In his free time he is pursuing a PhD in ML Engineering at University of Regensburg, focussing on applied NLP in the science domain. Aris Tsakpinis is a Specialist Solutions Architect for AI & Machine Learning with a special focus on natural language processing (NLP), large language models (LLMs), and generative AI.

Large Language Models 91

Large Language Models Natural Language Processing Software Engineer NLP 91

AWS Machine Learning Blog

APRIL 11, 2023

About the Authors Dipika Khullar is an ML Engineer in the Amazon ML Solutions Lab. She helps customers integrate ML solutions to solve their business problems. Marcelo Aberle is an ML Engineer in the AWS AI organization. Yash Shah is a Science Manager in the Amazon ML Solutions Lab.

ML Engineer 74

ML Engineer ML Data Scientist Machine Learning 74