AMAZON SAGEMAKER | The fastest way for busy developers to keep up with technologies 🚀 | www.faun.dev

Join us

Read, Learn, Know, Teach

Hand curated newsletters for Developers, private Slack with like minded people, podcasts, job offers, news and more!

Newest FAUNers

@raivndra (raivndra karuturi)

Performance Architect

@guangzu (ed w)

@preetypenny (Bhagyashri Chitlange)

CG

@blockhyve (Block Hyve)

@marvinbeusterien (Marvin Beusterien)

Machine Learning Engineer

Thoughtleaders

@eon01 (Aymen El Amri)

Founder, FAUN

@squadcast (Squadcast Inc)

@javinpaul (Javin Paul)

Blogger, Programmer, Developer

@sofiatarhonska (Sofia Tarhonska)

Mailtrap

@dridhone (dridhOn Services)

Founder, www.dridhon.com

Influential organizations

Create an organization

System Architect DevOps

Siemens Gamesa Renewable Energy

Hybrid (Remote + Onsite)

Siemens Gamesa Renewable Energy

Tools specified in the job description

Posted 2 years ago

Volunteer Software Developer Position with Superstars

Tools specified in the job description

Posted 11 months, 1 week ago

Front End Software Developer

Upskilled Evolution

ArcGIS API for JavaScript, AngularJS

Posted 1 year, 10 months ago

Backend Engineer

Hybrid (Remote + Onsite)

Ruby, Ruby on Rails

Posted 2 years ago

DevOps Engineer | Center for Humans and Machines

Max Planck Institute for Human Development

Hybrid (Remote + Onsite)

Max Planck Institute for Human Development

Tools specified in the job description

Posted 2 years ago

Senior Site Reliability Engineer (100% Remote)

Tools specified in the job description

Posted 1 year, 8 months ago

Distributed Systems Testing Engineer (100% Remote)

Tools specified in the job description

Posted 1 year, 8 months ago

Senior Azure Devops Engineer

Amazon Web Services, Azure, Kubernetes...

Posted 9 months, 3 weeks ago

heart

Posts from the community tagged with AMAZON SAGEMAKER...

Sponsored Link FAUN Team

@faun shared a link, 1 year, 7 months ago

Read CloudNative Weekly Newsletter

#DevOps #CloudCo... #SRE

Google Cloud Platform

Amazon Web Services

Kubernetes

CloudNative Weekly Newsletter, The Chief I/O. Curated CloudNative news, tutorials, tools and more!

Join thousands of other readers, 100% free, unsubscribe anytime.

Link

@windy shared a link, 1 year, 4 months ago

Top 10 proven approaches to Package ML Model & Deploy for inferencing

#Google ... #MLOps #ML #AMAZON ... #Artific...

Python

Deploying machine learning models into production requires selecting the right platform based on your needs. Managed cloud services provide end-to-end scaling while open source options offer flexibility. With proper preparation, your model can serve real-time, low-latency predictions at scale.

Top 10 proven approaches to Package ML Model & Deploy for inferencing