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 337

ML Engineer Data Scientist Deep Learning Data Science 337

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.

ML Engineer 132

ML Engineer ML Machine Learning LLM 132

Towards AI

FEBRUARY 21, 2023

A sensible proxy sub-question might then be: Can ChatGPT function as a competent machine learning engineer? The Set Up If ChatGPT is to function as an ML engineer, it is best to run an inventory of the tasks that the role entails. ChatGPT’s job as our ML engineer […]

ML Engineer 98

ML Engineer ML ChatGPT Computer Vision 98

Towards AI

APRIL 4, 2023

SAN JOSE, CA (April 4, 2023) — Edge Impulse, the leading edge AI platform, today announced Bring Your Own Model (BYOM), allowing AI teams to leverage their own bespoke ML models and optimize them for any edge device. Praise Edge Impulse and its new features are garnering accolades from industry leaders. “At

ML Engineer 98

ML Engineer ML Python Neural Network 98

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 ML Engineer Actionable Intelligence 306

Unite.AI

FEBRUARY 11, 2025

With a team of 30 AI researchers and ML engineers from Microsoft, Amazon, and top Ivy League institutions, Future AGI is at the forefront of AI innovation, bringing patented technologies and deep expertise to solve AIs most pressing challenges.

Auto-complete 147

Auto-complete ML Engineer AI AI 147

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 Machine Learning 322

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.

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ML ML Engineer Data Science Big Data 245

AWS Machine Learning Blog

OCTOBER 22, 2024

Amazon SageMaker is a cloud-based machine learning (ML) platform within the AWS ecosystem that offers developers a seamless and convenient way to build, train, and deploy ML models. The solution illustrated in this post focuses on the new SageMaker Studio experience, particularly private JupyterLab and Code Editor spaces.

ML Engineer 113

ML Engineer Data Scientist Machine Learning ML 113

TheSequence

NOVEMBER 7, 2024

But how good is AI in traditional machine learning(ML) engineering tasks such as training or validation. This is the purpose of a new work proposed by OpenAI with MLE-Bench, a benchmark to evaluate AI agents in ML engineering tasks. One of the ultimate manifestations of this proposition is AI writing AI code.

OpenAI 59

OpenAI ML Engineer Machine Learning ML 59

Unite.AI

JANUARY 27, 2025

End users should also seek companies that can help with this testing as often an ML Engineer can help with deployment vs. the Data Scientist that created the model. If performance requirements can be met at a lower cost, those savings fall to the bottom line and might even make the solution viable.

Deep Learning 162

Deep Learning Data Quality ML Engineer Data Scientist 162

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 165

LLM ML Engineer ML AI 165

Marktechpost

NOVEMBER 16, 2024

It is ideal for ML engineers, data scientists, and technical leaders, providing real-world training for production-ready generative AI using Amazon Bedrock and cloud-native services.

Artificial Intelligence 104

Artificial Intelligence Artificial Intelligence Prompt Engineer Prompt Engineering 104

Flipboard

FEBRUARY 13, 2025

AI/ML engineers would prefer to focus on model training and data engineering, but the reality is that we also need to understand the infrastructure and mechanics […]

Machine Learning 135

Machine Learning ML Engineer ML AI 135

TheSequence

MARCH 8, 2024

VEW SPEAKER LINEUP Here’s a sneak peek of the agenda: LangChain Keynote: Hear from Lance Martin, an ML leader at LangChain, a leading orchestration framework for large language models (LLMs).

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ML Engineer ML Large Language Models Data Scientist 52

TheSequence

NOVEMBER 3, 2023

Manager, ML Engineering at HelloFresh “Fireside Chat: LLMs, Real Time & Other Trends in the Production ML Space,” with Ali Ghodsi, CEO & Co-founder at Databricks , and Mike Del Balso, CEO & Co-founder at Tecton “Evolution of the Ads Ranking System at Pinterest,” by Aayush Mudgal, Sr.

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ML Engineer ML Software Engineer Data Scientist 52

TheSequence

FEBRUARY 19, 2024

Diverse Expertise : Network with a wide array of AI and ML engineers, from seasoned veterans to those leading the charge at their companies, all eager to share their unique perspectives and knowledge. SAVE YOUR SPOT

ML Engineer 52

ML Engineer ML AI AI 52

Marktechpost

OCTOBER 12, 2024

Machine Learning (ML) models have shown promising results in various coding tasks, but there remains a gap in effectively benchmarking AI agents’ capabilities in ML engineering. MLE-bench is a novel benchmark aimed at evaluating how well AI agents can perform end-to-end machine learning engineering.

Machine Learning 113

Machine Learning OpenAI ML Engineer ML 113

Towards AI

AUGUST 7, 2024

From Solo Notebooks to Collaborative Powerhouse: VS Code Extensions for Data Science and ML Teams Photo by Parabol | The Agile Meeting Toolbox on Unsplash In this article, we will explore the essential VS Code extensions that enhance productivity and collaboration for data scientists and machine learning (ML) engineers.

Data Science 116

Data Science ML ML Engineer Data Scientist 116

Towards AI

FEBRUARY 9, 2025

Since all ML models expect numeric input, it doesnt signify that passing the numeric features as they are fulfills the use case. Many people who admire being an ML engineer or even existing ML engineers just send the data as it is (without the required processing) to the model for its training, without knowing that its not the optimized way.

Machine Learning 67

Machine Learning ML Engineer ML AI 67

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 105

Data Science ML Engineer Data Scientist ML 105

AWS Machine Learning Blog

FEBRUARY 21, 2025

Deployment times stretched for months and required a team of three system engineers and four ML engineers to keep everything running smoothly. With just one part-time ML engineer for support, our average issue backlog with the vendor is practically non-existent.

Data Science 76

Data Science Data Scientist Data Ingestion DevOps 76

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 Computer Vision Robotics 132

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

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

AWS Machine Learning Blog

FEBRUARY 21, 2025

For this post, we have two active directory groups, ml-engineers and security-engineers. We test the access of two users, John Doe and Jane Smith, who are users of the ml-engineers group and security-engineers group, respectively. The secret name for John Doe is jdoe , and for Jane Smith, its jsmith.

Generative AI 84

Generative AI ML Engineer IDP NLP 84

Flipboard

NOVEMBER 24, 2023

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. Data scientists and ML engineers require capable tooling and sufficient compute for their work. JuMa is now available to all data scientists, ML engineers, and data analysts at BMW Group.

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ML DevOps Data Scientist ML Engineer 153

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.

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Machine Learning ML AI AI 262

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 132

Machine Learning ML Engineer DevOps ML 132

AWS Machine Learning Blog

SEPTEMBER 4, 2024

In this post, we introduce an example to help DevOps engineers manage the entire ML lifecycle—including training and inference—using the same toolkit. Solution overview We consider a use case in which an ML engineer configures a SageMaker model building pipeline using a Jupyter notebook.

DevOps 107

DevOps ML Engineer ML Metadata 107

Unite.AI

FEBRUARY 12, 2025

The AI/ML engine built into MachineMetrics analyzes this machine data to detect anomalies and patterns that might indicate emerging problems. MachineMetrics cloud platform can be deployed in minutes by connecting simple IoT devices to machines, automatically tracking metrics like cycle time, downtime, and performance.

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AI Tools Machine Learning Auto-complete AI 260

Towards AI

FEBRUARY 18, 2025

In this post, I want to shift the conversation to how Deepseek is redefining the future of machine learning engineering. It has already inspired me to set new goals for 2025, and I hope it can do the same for other ML engineers. It is fascinating what Deepseek has achieved with their top noche engineering skill.

ML Engineer 100

ML Engineer LLM Data Quality Algorithm 100

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 170

Data Science DevOps Machine Learning Data Scientist 170

AWS Machine Learning Blog

FEBRUARY 19, 2025

In this example, the ML engineering team is borrowing 5 GPUs for their training task With SageMaker HyperPod, you can additionally set up observability tools of your choice. In our public workshop, we have steps on how to set up Amazon Managed Prometheus and Grafana dashboards.

Data Scientist 77

Data Scientist Data Science ML Engineer Generative AI 77

AWS Machine Learning Blog

JULY 8, 2024

TWCo data scientists and ML engineers took advantage of automation, detailed experiment tracking, integrated training, and deployment pipelines to help scale MLOps effectively. ML model experimentation is one of the sub-components of the MLOps architecture. We encourage to you to get started with Amazon SageMaker today.

Data Scientist 121

Data Scientist ML Engineer Machine Learning Data Science 121

AWS Machine Learning Blog

FEBRUARY 11, 2025

Clean up To clean up the model and endpoint, use the following code: predictor.delete_model() predictor.delete_endpoint() Conclusion In this post, we explored how SageMaker JumpStart empowers data scientists and ML engineers to discover, access, and run a wide range of pre-trained FMs for inference, including the Falcon 3 family of models.

ML 84

ML Machine Learning Python Computer Vision 84

AWS Machine Learning Blog

DECEMBER 12, 2024

The new SDK is designed with a tiered user experience in mind, where the new lower-level SDK ( SageMaker Core ) provides access to full breadth of SageMaker features and configurations, allowing for greater flexibility and control for ML engineers.

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ML Python Data Scientist Natural Language Processing 96