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. Advancements in AI and ML are transforming the landscape and creating exciting new job opportunities.

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ML ML Engineer Natural Language Processing Big Data 193

Flipboard

MAY 31, 2023

Learn how to easily build any AI model and customize your own LLM in just a few lines of code with a declarative approach to machine learning.

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ML Engineer ML Machine Learning LLM 91

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. REGISTER FOR WEBINAR

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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.

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Python ML Engineer Data Scientist ML 330

Eugene Yan

NOVEMBER 7, 2020

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

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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.

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Data Scientist Machine Learning Actionable Intelligence ML Engineer 295

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.

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ML Engineer Data Scientist Deep Learning Data Science 323

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 […].

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Machine Learning ML Engineer Data Science ML 337

AWS Machine Learning Blog

SEPTEMBER 20, 2023

In these scenarios, as you start to embrace generative AI, large language models (LLMs) and machine learning (ML) technologies as a core part of your business, you may be looking for options to take advantage of AWS AI and ML capabilities outside of AWS in a multicloud environment.

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ML Python Deep Learning Machine Learning 106

Towards AI

JULY 19, 2023

How to Maximize ML Project Success with Efficient Scoping? | What can you recommend to him as an ML Engineer? A better search engine for his site. We can also keep giving hundreds of other suggestions to him, both belonging to ML and not belonging to ML. To improve the catalog data of his store.

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ML Machine Learning ML Engineer Explainability 92

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 100

Data Science ML Engineer Data Scientist ML 100

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.

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LLM ML Engineer ML AI 130

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. Need more reasons to sign up? REGISTER NOW

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ML ML Engineer Software Engineer Data Scientist 52

Pickl AI

JANUARY 29, 2024

2024 Tech breakdown: Understanding Data Science vs ML vs AI Quoting Eric Schmidt , the former CEO of Google, ‘There were 5 exabytes of information created between the dawn of civilisation through 2003, but that much information is now created every two days.’ AI comprises Natural Language Processing, computer vision, and robotics.

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Data Science ML Machine Learning Artificial Intelligence 52

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

Towards AI

FEBRUARY 13, 2023

What can you recommend to him as an ML Engineer? A better search engine for his site. We can also keep giving hundreds of other suggestions to him, both belonging to ML and not belonging to ML. Like all other fields, scoping ML projects have many community recommended outlines. General Outline for Scoping.

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ML Machine Learning ML Engineer Explainability 89

Heartbeat

SEPTEMBER 18, 2023

Unleashing Innovation and Success: Comet — The Trusted ML Platform for Enterprise Environments Machine learning (ML) is a rapidly developing field, and businesses are increasingly depending on ML platforms to fuel innovation, improve efficiency, and mine data for insights.

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ML Data Scientist ML Engineer Machine Learning 52

Marktechpost

JULY 19, 2023

In the actual world, machine learning (ML) systems can embed issues like societal prejudices and safety worries. Stakeholders such as ML engineers, designers, and domain experts must work together to identify a model’s expected and potential faults. Zeno works together with other systems and combines the methods of others.

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Machine Learning ML Python Metadata 52

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.

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Machine Learning ML Engineer DevOps ML 111

AWS Machine Learning Blog

NOVEMBER 21, 2023

By taking care of the undifferentiated heavy lifting, SageMaker allows you to focus on working on your machine learning (ML) models, and not worry about things such as infrastructure. Prior to working at Amazon Music, Siddharth was working at companies like Meta, Walmart Labs, Rakuten on E-Commerce centric ML Problems.

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ML Deep Learning Machine Learning DevOps 88

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.”

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Data Scientist Machine Learning ML Engineer ML 105

Unite.AI

JUNE 29, 2023

You can also explore the Google Cloud Skills Boost program, specifically designed for ML APIs, which offers extra support and expertise in this field. Optimizing workloads and costs To address the challenges of expensive and complex ML infrastructure, many companies increasingly turn to cloud services.

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ML AI AI Machine Learning 262

IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. What is MLOps?

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Data Science DevOps Machine Learning Data Scientist 153

TheSequence

OCTOBER 13, 2023

Join the global machine learning community at this virtual event to network and share best practices with your peers on platforms and architectures for production ML. Event Details - Date: Tuesday, November 14 - Time: 9:30AM – 3:00PM PT - Location: Virtual REGISTER NOW

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ML Engineer Software Engineer Software Development Data Scientist 52

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.

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Explainability LLM ML Engineer ML 108

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?

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Machine Learning ML Engineer ML 52

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. Some typical examples are given in the following table, along with some discussion as to whether or not ML would be an appropriate tool for solving the problem: Figure 1.1:

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Machine Learning ML Engineer ML Data Science 98

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. Chronon empowers ML practitioners to define features and centralize data computation for model training and production inference, guaranteeing accuracy and consistency throughout the process.

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Machine Learning ML Engineer Data Ingestion ML 98

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.

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Machine Learning ML Engineer Data Scientist ML 52

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.

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AI Engineer Software Engineer Artificial Intelligence Artificial Intelligence 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.

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Generative AI ML Engineer Robotics Computer Vision 126

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.

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Machine Learning BERT Deep Learning ML Engineer 94

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. Join our 35k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. AutoML offers several advantages crucial for the evolving content moderation landscape.

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Machine Learning Continuous Learning Automation ML Engineer 101

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.

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Data Scientist Machine Learning Python ML Engineer 133

AWS Machine Learning Blog

FEBRUARY 13, 2024

Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. Features are inputs to ML models used during training and inference. SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts.

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ML ML Engineer Machine Learning Data Scientist 112

Eugene Yan

JANUARY 16, 2019

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

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ML Engineer Data Scientist ML 130

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. Can’t make the live webinar? Register anyway to access the on-demand video later.

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Machine Learning ML Engineer ML 52