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.

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ML ML Engineer Machine Learning Data Scientist 106

Pickl AI

JANUARY 30, 2023

The role of Python is not just limited to Data Science. It’s a universal programming language that finds application in different technologies like AI, ML, Big Data and others. In fact, Python finds multiple applications. Hence making a career in Python can open up several new opportunities. Python helps in this process.

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TheSequence

NOVEMBER 5, 2023

🛠 Real World ML LLM Architectures at GitHub GitHub ML engineers discuss the architecture of LLMs apps —> Read more. Yahoo big-data AI startup Vespa announced a $31 million series A. 📡AI Radar Elon Musk’s x.ai Snowflake unveiled Cortex , a new platform for enterprise LLMs.

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ML ML Engineer Chatbots Big Data 52

Pickl AI

JULY 14, 2023

Big Data and Deep Learning (2010s-2020s): The availability of massive amounts of data and increased computational power led to the rise of Big Data analytics. Deep Learning, a subfield of ML, gained attention with the development of deep neural networks.

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Neural Network Software Engineer Artificial Intelligence Artificial Intelligence 52

AWS Machine Learning Blog

MARCH 30, 2023

His skills and areas of expertise include application development, data science, machine learning, and big data. He supports customers in developing data-driven applications within the cloud. Fotinos Kyriakides is an ML Engineer with AWS Professional Services.

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Machine Learning Data Scientist Metadata Data Science 72

Mlearning.ai

FEBRUARY 9, 2023

I started working in Data Science right after graduating with an MS degree in Electrical and Computer Engineering from the University of California, Los Angeles (UCLA). You could be working entirely on data analytics under a Data Scientist job title.

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AWS Machine Learning Blog

MARCH 30, 2023

His skills and areas of expertise include application development, data science, machine learning, and big data. He supports customers in developing data-driven applications within the cloud. Fotinos Kyriakides is an ML Engineer with AWS Professional Services.

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AWS Machine Learning Blog

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

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AWS Machine Learning Blog

OCTOBER 20, 2023

Data scientists search and pull features from the central feature store catalog, build models through experiments, and select the best model for promotion. Data scientists create and share new features into the central feature store catalog for reuse.

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ML Data Scientist ML Engineer Data Science 103

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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AWS Machine Learning Blog

NOVEMBER 9, 2023

Prior to this role, she led multiple initiatives as a data scientist and ML engineer with top global firms in the financial and retail space. She holds a master’s degree in Computer Science specialized in Data Science from the University of Colorado, Boulder. Data Lake Architect with AWS Professional Services.

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Data Drift Auto-complete ML Automation 101

AWS Machine Learning Blog

FEBRUARY 28, 2024

About the Authors Sanjeeb Panda is a Data and ML engineer at Amazon. With the background in AI/ML, Data Science and Big Data, Sanjeeb design and develop innovative data and ML solutions that solve complex technical challenges and achieve strategic goals for global 3P sellers managing their businesses on Amazon.

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Metadata LLM Generative AI NLP 113

ODSC - Open Data Science

JULY 19, 2023

Machine Learning Operations (MLOps) can significantly accelerate how data scientists and ML engineers meet organizational needs. A well-implemented MLOps process not only expedites the transition from testing to production but also offers ownership, lineage, and historical data about ML artifacts used within the team.

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Machine Learning Data Drift Data Science ML Engineer 52

AWS Machine Learning Blog

JUNE 26, 2023

SageMaker Role Manager offers predefined personas and ML activities combined to streamline your permission generation process, allowing your ML practitioners to perform their responsibilities with the least privilege permissions. Ram Vittal is a Principal ML Solutions Architect at AWS.

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ML Data Scientist Automation Machine Learning 72

AWS Machine Learning Blog

JANUARY 6, 2023

Jessie Danqing Cai, Associate Research Director, Big Data & Analytics Practice, IDC Asia/Pacific. Finally, SageMaker launched support for geospatial ML , allowing data scientists and ML engineers to easily build, train, and deploy ML models using geospatial data.

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AWS Machine Learning Blog

APRIL 11, 2023

Rajesh Ramchander is a Senior Data & ML Engineer in Professional Services at AWS. He helps customers migrate big data and AL/ML workloads to AWS. In his free time, he enjoys playing sports, especially basketball and padel, spending time with family and friends, and learning about technology.

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IDP Explainability Big Data ML 70

DataRobot Blog

SEPTEMBER 13, 2022

What Do Data Scientists Do? Data scientists drive business outcomes. Many implement machine learning and artificial intelligence to tackle challenges in the age of Big Data. What data scientists do is directly tied to an organization’s AI maturity level.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Configuration files (YAML and JSON) allow ML practitioners to specify undifferentiated code for orchestrating training pipelines using declarative syntax. The following are the key benefits of this solution: Automation – The entire ML workflow, from data preprocessing to model registry, is orchestrated with no manual intervention.

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Snorkel AI

JULY 5, 2023

We thought we’d structure this more as a conversation where we walk you through some of our thinking around some of the most common themes in data centricity in applied AI. Is more data always better? And the important thing here is really the predictive signal in the data. Maybe I’ll start us off here Robert?

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Large Language Models Metadata AI AI 52

Snorkel AI

JULY 5, 2023

We thought we’d structure this more as a conversation where we walk you through some of our thinking around some of the most common themes in data centricity in applied AI. Is more data always better? And the important thing here is really the predictive signal in the data. Maybe I’ll start us off here Robert?

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Large Language Models Metadata AI AI 52

AWS Machine Learning Blog

AUGUST 31, 2023

Ram Vittal is a Principal ML Solutions Architect at AWS. He is passionate about building secure and scalable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes.

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ML Data Scientist Machine Learning Automation 93

The MLOps Blog

JUNE 27, 2023

Databricks Databricks is a cloud-native platform for big data processing, machine learning, and analytics built using the Data Lakehouse architecture. Delta Lake Delta Lake is an open-source storage layer that provides reliability, ACID transactions, and data versioning for big data processing frameworks such as Apache Spark.

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AWS Machine Learning Blog

AUGUST 31, 2023

Ram Vittal is a Principal ML Solutions Architect at AWS. He is passionate about building secure and scalable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes.

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ML Data Scientist Machine Learning Automation 52

AWS Machine Learning Blog

APRIL 19, 2023

Raj Ramasubbu is a Senior Analytics Specialist Solutions Architect focused on big data and analytics and AI/ML with Amazon Web Services. Raj provided technical expertise and leadership in building data engineering, big data analytics, business intelligence, and data science solutions for over 18 years prior to joining AWS.

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ML Data Scientist Big Data Machine Learning 77

Flipboard

MARCH 7, 2023

There are also limited options for ad hoc script customization by users, such as data scientists or ML engineers, due to permissions of the user profile execution role. He develops and codes cloud native solutions with a focus on big data, analytics, and data engineering.

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Python Automation Data Scientist ML 93

The MLOps Blog

AUGUST 11, 2023

Getting a workflow ready which takes your data from its raw form to predictions while maintaining responsiveness and flexibility is the real deal. At that point, the Data Scientists or ML Engineers become curious and start looking for such implementations.

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ML Machine Learning Data Ingestion Deep Learning 52

Snorkel AI

MAY 24, 2023

Rebekah Westerlind , one of the founding engineers at Snorkel, currently serves as a tech lead/manager on the Snorkel ML engineering team. She will present at the conference, and her passion for learning has led her to work on a range of projects from AI to big data.

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Machine Learning Data Scientist Computer Vision ML 52

Snorkel AI

MAY 24, 2023

Rebekah Westerlind , one of the founding engineers at Snorkel, currently serves as a tech lead/manager on the Snorkel ML engineering team. She will present at the conference, and her passion for learning has led her to work on a range of projects from AI to big data.

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Machine Learning Data Scientist Computer Vision ML 52