Загрузка...

Data scientist vs. ML engineer: why the roles are collapsing into one

Data scientist or ML engineer?
Jo Hjersman, Head of Data at The Commons XR, breaks down why the data scientist and ML engineer roles are converging toward a full-stack ownership model, and what that means for how teams should hire and operate.

Видео Data scientist vs. ML engineer: why the roles are collapsing into one канала Nexla
Комментарии отсутствуют
Зарегистрируйтесь или войдите с
Информация о видео
5 мая 2026 г. 16:27:03
00:01:12
Nexla
Правообладателям
Жалоба на материал Недопустимый материал Нарушение авторских прав
Комментарии
Поделиться
Другие видео канала

Look before you merge: catching downstream impact before it breaks productionLook before you merge: catching downstream impact before it breaks production

Feature Spotlight: Monitoring Your DataflowsFeature Spotlight: Monitoring Your Dataflows

Six Sigma vs operations research: Why variation reduction misses the optimization opportunitSix Sigma vs operations research: Why variation reduction misses the optimization opportunit

Move PostgreSQL Data to Vespa.ai with No-Code PipelinesMove PostgreSQL Data to Vespa.ai with No-Code Pipelines

Ortecha's Stephen Gatchell On The Data Governance Gap That's Blocking Your AI Production DeploymentOrtecha's Stephen Gatchell On The Data Governance Gap That's Blocking Your AI Production Deployment

Dashboards are dead: the data team's job is changingDashboards are dead: the data team's job is changing

Feature Spotlight: Creating & Using Data LookupsFeature Spotlight: Creating & Using Data Lookups

Moving Data From S3 to Vespa with NexlaMoving Data From S3 to Vespa with Nexla

The factory model of engineering is dead. What replaces it.The factory model of engineering is dead. What replaces it.

Enhancing LLM Operations with Private Data using RAGEnhancing LLM Operations with Private Data using RAG

Part 6: Get Creative with NexlaPart 6: Get Creative with Nexla

No more individual contributors: everyone is managing a team of 3 with AINo more individual contributors: everyone is managing a team of 3 with AI

170 paid workshops at $500 each validated $13M ARR before building the product170 paid workshops at $500 each validated $13M ARR before building the product

What Makes a Real Data Product: 6 Elements That Prevent Million-Dollar LossesWhat Makes a Real Data Product: 6 Elements That Prevent Million-Dollar Losses

Nexla Intro FeatureNexla Intro Feature

Build Data Pipelines in a Single Prompt | Express by NexlaBuild Data Pipelines in a Single Prompt | Express by Nexla

Building and Monitoring Production-Ready CI Pipelines using NexlaBuilding and Monitoring Production-Ready CI Pipelines using Nexla

The 'No More Individual Contributors' Framework: Managing A Team of 3 with AIThe 'No More Individual Contributors' Framework: Managing A Team of 3 with AI

Expert Panel: The Impact of GenAI on Data EngineeringExpert Panel: The Impact of GenAI on Data Engineering

Inspiration to Trip: Powered by Tripadvisor, NVIDIA, Nexla, and NebiusInspiration to Trip: Powered by Tripadvisor, NVIDIA, Nexla, and Nebius

The Production Gap Killing Enterprise AI ROIThe Production Gap Killing Enterprise AI ROI

Яндекс.Метрика
© 2008-2026 «Информационно-развлекательный портал города Верхняя Салда»
salda.ws@mail.ru salda_ws Контакты Карта портала Сообщить об ошибке Соглашения Пользовательское соглашение Соглашение о конфиденциальности Согласие на обработку персональных данных Информация для правообладателей Об использовании Cookies
Все заметки Новая заметка Страницу в заметки
Страницу в закладки Мои закладки
На информационно-развлекательном портале SALDA.WS применяются cookie-файлы. Нажимая кнопку Принять, вы подтверждаете свое согласие на их использование.
О CookiesНапомнить позжеПринять