Aws Sagemaker Studio - 37+ job offers

## **DESCRIPTION** The Company Amazon Web Services (AWS) is the pioneer and recognized leader in Cloud Computing. Our web services provide a platform for IT infrastructure in-the-cloud that is used by hundreds of thousands of developers and businesses around the world. These customers range from sta

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s

Dice is the leading career destination for tech experts at every stage of their careers. Our client, SES, is seeking the following. Apply via Dice today! *ML Engineer - AWS, Machine Learning, SageMaker, Git, Terraform, MLOps** *Type: W2 With Benefits - No C2C** *Location: Washington DC - 2 or 3 days

ML Engineer - AWS, Machine Learning, SageMaker, Git, Terraform, MLOps Type: W2 With Benefits - No C2C Location: Washington DC - 2 or 3 days per week onsite Key Responsibilities Build and operationalize ML models using AWS SageMaker. Work closely with: Data Science team on model development and opera

*Description** The Company Amazon Web Services (AWS) is the pioneer and recognized leader in Cloud Computing. Our web services provide a platform for IT infrastructure in-the-cloud that is used by hundreds of thousands of developers and businesses around the world. These customers range from start-u

Amazon Web Services

$15,408 - $20,850 /year

## **DESCRIPTION** The Company Amazon Web Services (AWS) is the pioneer and recognized leader in Cloud Computing. Our web services provide a platform for IT infrastructure in-the-cloud that is used by hundreds of thousands of developers and businesses around the world. These customers range from sta

We are seeking an engineer to design, build, and support AWS-based infrastructure and production ML/GenAI systems in an enterprise environment. This role combines cloud platform engineering with deployment and support of scalable machine learning solutions. Qualifications Completed Master's Degree i

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Capgemini America, Inc., is seeking the following. Apply via Dice today! *Position Title : AWS SageMaker Data Scientist Location : Charlotte, NC (Onsite/Hybrid) Experience : 8+ Years** *Employee Type

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's

ML Engineer - AWS, Machine Learning, SageMaker, Git, Terraform, MLOps Type: W2 With Benefits - No C2C Location: Washington DC - 2 or 3 days per week onsite Key Responsibilities Build and operationalize ML models using AWS SageMaker. Work closely with: Data Science team on model development and opera

Position Title : AWS SageMaker Data Scientist Location : Charlotte, NC (Onsite/Hybrid) Experience : 8+ Years Employee Type : Full Time with Benefits Job Description We are seeking a highly skilled AWS SageMaker Data Scientist with deep expertise in building, deploying, and optimizing machine learnin

Amazon

Description The Company: Amazon Web Services (AWS) is the pioneer and recognized leader in Cloud Computing. Our web services provide a platform for IT infrastructure in-the-cloud that is used by hundreds of thousands of developers and businesses around the world. These customers range from start-ups

## **DESCRIPTION** Be part of a team which is passionate about solving real world data management and governance challenges. Come build large scale distributed systems that are central to the next generation of analytics in the cloud. AWS Lake Formation is a service that helps build and secure data

*Description** Be part of a team which is passionate about solving real world data management and governance challenges. Come build large scale distributed systems that are central to the next generation of analytics in the cloud. AWS Lake Formation is a service that helps build and secure data lake

The Company: Amazon Web Services (AWS) is the pioneer and recognized leader in Cloud Computing. Our web services provide a platform for IT infrastructure in-the-cloud that is used by hundreds of thousands of developers and businesses around the world. These customers range from start-ups to leading

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s

BPX GenAI Squad Data Scientist requirement Data Scientist AIML P2P3 Experience 6- 8 Years Skillset Required Expert level understanding of Machine LearningDeep Learning concepts techniques algorithms Hands on working experience on building end to end MLDL solutions Expert level proficiency in Python

The Company: Amazon Web Services (AWS) is the pioneer and recognized leader in Cloud Computing. Our web services provide a platform for IT infrastructure in-the-cloud that is used by hundreds of thousands of developers and businesses around the world. These customers range from start-ups to leading

Amazon

The Group: SageMaker Unified Studio is an AI-assisted unified development environment, designed to provide an integrated experience for customers using AWS Analytics and ML services without regard for service boundaries. It targets Data Engineers, Data Scientists, SQL Analysts and IT Administrators

Senior MLOps Engineer 📍 Hartford, CT 💰 $100,000 – $115,000 Benefits 🏦 Industry: Insurance / Enterprise Technology / AI & Data Platforms 🕒 Full-time W2 | MLOps / Machine Learning Engineering An exciting opportunity has opened for an MLOps Engineer to join a high-impact enterprise technology t