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Aws Sagemaker Remote Jobs (NOW HIRING)

Sr AWS DevOps

Plainsboro, NJ · Remote

$133K - $170K/yr

Contract & 100% remote. If you are open for new opportunities & interested in this role, please ... Service Catalog, Jenkins, Terraform, Python, IAM, Sagemaker and Weavescope 4 open positions

AI Data Architect

$65.25 - $84/hr

Denver, CO/REMOTE This position is for a remote work environment Duration: 6+ Months We are seeking ... Google Vertex, AWS Kendra, Snowflake Cortex, AWS SageMaker, Google AI Studio), cloud computing (i.e ...

Sr AWS DevOps

Plainsboro, NJ · On-site +1

$133K - $170K/yr

Contract & 100% remote. If you are open for new opportunities & interested in this role, please ... Service Catalog, Jenkins, Terraform, Python, IAM, Sagemaker and Weavescope 4 open positions

Remote Duration: Long term contract We are seeking a highly skilled Full Stack Developer with over ... Deploy, scale, and monitor machine learning workloads on AWS (SageMaker, Lambda, or ECS)

Salesforce Developer@ Remote Role

$56.75 - $75.25/hr

Build and optimize end-to-end machine learning pipelines using tools like Docker, AWS Sagemaker, and Airflow. Work on delivering solutions that improve KPIs or business outcomes. Apex Development:

Cloud Engineer

$57 - $76.25/hr

Location Remote (U.S.) Level Senior Individual Contributor Cloud Platforms Azure • AWS Reports To ... and AWS (SageMaker, Bedrock) environments. * Contribute to the architecture and operational ...

AWS Cloud Sales Specialist

$57 - $76.25/hr

AWS Cloud Sales Specialist Seattle WA and Arlington VA - Remote Travel required to client locations ... SageMaker and AI/ML capabilities. * Ability to present the AWS Well-Architected Framework and ...

AI Consultant

Atlanta, GA · Remote

$75 - $80/hr

We have a JOB FOR YOU!!! 100% Remote. We are looking for an AI consultant to join our innovative ... AWS SageMaker, Azure AI, or Google Vertex AI for AI model deployment. · Interpersonal ...

AI Consultant

Miami, FL · Remote

$75 - $80/hr

We have a JOB FOR YOU!!! 100% Remote. We are looking for an AI consultant to join our innovative ... AWS SageMaker, Azure AI, or Google Vertex AI for AI model deployment. · Interpersonal ...

Data Scientist

OR · On-site +1

Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

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Data Scientist (AI)

Washington, DC · Remote

$125K - $190K/yr

AI Data Scientist REMOTE US Citizen What You Will Need: * Bachelor's or Master's degree in Data ... Experience with enterprise ML platforms (e.g., AWS SageMaker, Databricks Machine Learning) for ...

... remote locations. You'll integrate AI models at the edge, leverage AWS IoT Greengrass, Snowball Edge, and SageMaker, and build systems that operate anywhere, anytime with zero-trust security and ...

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Aws Sagemaker Remote information

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$54

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How much do aws sagemaker remote jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for aws sagemaker remote in the United States is $54.05, according to ZipRecruiter salary data. Most workers in this role earn between $38.70 and $64.42 per hour, depending on experience, location, and employer.

What are some common challenges faced by AWS SageMaker professionals working remotely, and how can they be addressed?

Remote AWS SageMaker professionals often encounter challenges such as managing secure access to sensitive data, collaborating effectively with distributed teams, and ensuring consistent deployment environments. To address these, it's important to leverage AWS security best practices, use version control and documentation tools, and participate in regular virtual meetings to stay aligned with team members. Additionally, taking advantage of AWS’s integrated collaboration features and establishing clear communication protocols can help mitigate these obstacles and ensure project success.

What is an AWS SageMaker remote job?

An AWS SageMaker remote job typically refers to a position where professionals use Amazon SageMaker, a cloud-based machine learning platform, to develop, train, and deploy machine learning models while working remotely. These roles often involve collaborating with teams via online tools, performing data analysis, and building models using SageMaker's suite of features without having to be physically present in an office. This allows for flexibility and access to global talent, as all work can be conducted over the internet while leveraging AWS infrastructure.

What is the difference between Aws Sagemaker Remote vs Data Scientist?

AspectAws Sagemaker RemoteData Scientist
Required CredentialsAWS certifications, cloud computing skillsStatistics, data analysis, programming (Python/R)
Work EnvironmentCloud platforms, remote or on-premiseOffice, remote, or hybrid
Industry UsageMachine learning deployment, cloud servicesData analysis, modeling, research

While Aws Sagemaker Remote focuses on deploying and managing machine learning models on AWS cloud, Data Scientists primarily analyze data, build models, and generate insights. Both roles require technical skills, but Sagemaker Remote emphasizes cloud infrastructure and deployment, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as an AWS SageMaker Remote Specialist, and why are they important?

To thrive as an AWS SageMaker Remote Specialist, you need expertise in machine learning, data science, cloud computing, and a strong understanding of AWS services, often supported by a degree in computer science or a related field. Familiarity with tools like Jupyter Notebooks, Python, TensorFlow, and official AWS certifications such as AWS Certified Machine Learning – Specialty are typically required. Excellent problem-solving, teamwork, and communication skills help you collaborate with distributed teams and translate business needs into technical solutions. These competencies are crucial for efficiently building, deploying, and managing scalable machine learning models in a remote cloud environment.
More about Aws Sagemaker Remote jobs
What cities are hiring for Aws Sagemaker Remote jobs? Cities with the most Aws Sagemaker Remote job openings:
What are the most commonly searched types of Aws Sagemaker jobs? The most popular types of Aws Sagemaker jobs are:
What states have the most Aws Sagemaker Remote jobs? States with the most job openings for Aws Sagemaker Remote jobs include:
Infographic showing various Aws Sagemaker Remote job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% Remote job distribution, with an average salary of $112,422 per year, or $54 per hour.
AWS Cloud Solution Architect (Remote)

AWS Cloud Solution Architect (Remote)

Oak Rocket

Pacifica, CA • Remote

$125K - $175K/yr

Full-time

Posted yesterday


Job description

AWS Cloud Solutions Architect


Salary Range: $125k - $175k


The Role

As an AWS Cloud Solutions Architect at Oak Rocket, you will play a pivotal role in designing and implementing cloud-based solutions tailored to meet the unique needs and objectives of our clients. Leveraging your expertise in AWS services and best practices, you will collaborate closely with customers, stakeholders, and internal teams to architect scalable, reliable, and cost-effective cloud solutions that address complex business challenges. 

This position is remote. Must be able to travel up to 25%. 

Job Responsibilities


  • Design, architect, and document comprehensive AWS-based solutions that align with customer requirements, business objectives, and industry best practices.

  • Interact directly with customers to understand their business needs, challenges, and goals.

  • Develop strategies for cloud adoption and migration of existing workloads to AWS.

  • Assess existing AWS environments, identify optimization opportunities, and propose strategies for enhancing performance, reliability, and cost savings.

  • Effectively communicate technical concepts and solutions to diverse audiences.

  • Support the implementation and deployment of AWS solutions, ensuring adherence to AWS architectural best practices.

  • Initiate strategic meetings, including onsite, and build deep relationships with senior technical individuals to encourage customer advocacy for proposed AWS-based solutions.

  • Provide ongoing thought leadership on AWS best practices, architectures and integrations to both customers and internal teams.

  • Work closely with Sales to provide status updates and insights learned during discovery with customers.

  • Work in collaboration with Legal, Finance, and Sales teams to prepare sales proposals, statements of works, and other strategic agreements.

  • Serve as a subject matter expert on AWS technologies, trends, and best practices, providing mentorship and guidance to junior team members.

  • Author and contribute to customer-facing publications such as whitepapers and blogs.

  • Stay abreast of emerging AWS services, industry trends, and new technologies, continuously elevating your skills and knowledge.


Minimum Qualifications


  • 8+ years of specific technology domain area experience (e.g. software development, cloud computing, systems engineering, architecture, infrastructure, security, networking, data & analytics).

  • 5+ years of design, implementation, and consulting experience with at least 2+ years experience implementing solutions on AWS.

  • Experience with DevOps practices, cloud networking, cloud migration, cloud security, and application integration.

  • Experience automating cloud infrastructure with Terraform, CloudFormation, and/or other such products and services.

  • AWS Solutions Architect Professional certification or other equivalent industry certification.


Preferred Qualifications


  • Experience in pre-sales.

  • Experience building generative AI applications.

  • Familiarity with AWS tools for building generative AI applications such as Amazon Bedrock and Amazon SageMaker.