2

Aws Sagemaker Remote Jobs (NOW HIRING)

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

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 ...

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:

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 ...

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 ...

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 ...

AI Data Engineer

Fort Belvoir, VA · On-site +1

$129K - $155K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data ... Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, AWS SageMaker)

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 ...

Experience with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or similar ... Remote

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

Experience with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or similar ... Remote Equal Opportunity Employer This employer is required to notify all applicants of their ...

next page

Showing results 1-20

Aws Sagemaker Remote information

See salary details

$11

$54

$77

How much do aws sagemaker remote jobs pay per hour?

As of Jun 9, 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 May 2026, with employment types broken down into 2% Locum Tenens, 96% Full Time, and 2% Temporary. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $112,422 per year, or $54 per hour.
DevOps Engineer Live Streaming- Wixom, MI

DevOps Engineer Live Streaming- Wixom, MI

J&B Medical

Wixom, MI • On-site, Remote

$80K - $110K/yr

Full-time

Posted 9 days ago


Job description

Job Type
Full-time
Description
J&B Virtual Solutions - we provide Telehealth Solutions.
J&B Virtual Solutions is a telehealth software solutions company that offers a complete system for health care professionals. VideoDoc® is our HIPAA and HITECH compliant telehealth platform that offers extensive video engagement options and utilizes our patented remote patient monitoring technology to capture, secure, and retrieve information on patient physiologies.
A DevOps Engineer plays a critical role in bridging the gap between software development and IT operations. They are responsible for designing and managing automated systems for software deployment, testing, and infrastructure provisioning. Working closely with developers, system administrators, and other teams, they aim to enhance the software development lifecycle. DevOps Engineers utilize tools like Kubernetes, Docker, and cloud platforms (AWS, Azure, GCP) to manage infrastructure and environments, ensuring high availability and scalability of applications
*******THIS POSITION IS FULL TIME IN OUR WIXOM MICHIGAN OFFICE. NO REMOTE, NO RELOCATION ALLOWANCE & NO SPONSORSHIP - now or in the future**********
Essential Functions:
  • Collaborate with the team to implement well-architected and cost-effective cloud solutions in Azure.
  • Design, build, and maintain both AWS and Azure-based networks, virtual machines, and Site Recovery solutions.
  • Automate & Optimize infrastructure deployment and maintenance using Infrastructure-as-Code (IaC) tools like Terraform, CloudFormation, and Ansible.
  • Manage & Scale production and non-production environments with AWS EC2, S3, RDS, Lambda, and Azure VMs.
  • Monitor & Troubleshoot system performance, ensuring high availability using Azure Monitor and Insights and AWS CloudWatch.
  • Enhance Security by building and maintaining security controls, compliance protocols, and best practices for protecting customer data.
  • Manage and secure network infrastructure using FortiGate firewalls, ensuring optimal security, VPN connectivity, and traffic management across cloud and on-prem environments.
  • Support Developers by refining CI/CD pipelines, managing deployments, and improving automation strategies.
  • Perform Backup & Recovery Operations and resolve complex technical issues in Azure and hybrid cloud environments.
  • Document & Innovate-Refactor pipelines, write documentation, and stay ahead of the latest cloud technologies.

Key Competencies:
  • 4-5+ years of hands-on experience in a DevOps role or cloud infrastructure management.
  • Deep AWS expertise, including EC2, S3, RDS, DynamoDB, Lambda, Cognito, Step Functions, Athena, etc.
  • Azure Cloud proficiency, particularly in Azure Virtual Machines, Site Recovery, and on-prem to Azure migrations.
  • Strong scripting & automation skills-Bash, Python, PowerShell, or equivalent.
  • Proficiency with Git and CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps Pipelines).
  • Experience with FortiGate firewalls for network security, VPN management, traffic filtering, and intrusion prevention.
  • Infrastructure as Code (IaC) experience with Terraform, CloudFormation, or Ansible.
  • Monitoring & Logging expertise using Azure Monitor & AWS CloudWatch.
  • Experience troubleshooting production environments and improving system reliability.
  • Strong teamwork & communication skills-you enjoy working with developers to streamline workflows.

Position Type:
This is a full-time onsite in Wixom position; 40-hour minimum, with the expectation to maintain a regular work schedule. Occasional evening and weekend work may be required as job duties demand.
Must be authorized to work in U.S. is a precondition of employment.
Requirements
Required Education and Experience:
  • Bachelor's Degree or equivalent experience.
  • At least 5 years of experience in an IT environment.

Preferred Experience/SKILLS:
  • Machine Learning on AWS (SageMaker, AI Services, etc.).
  • AWS Redshift for data warehousing.
  • Video streaming protocols (HLS, WebRTC, RTP, MPEG-DASH, Smooth Streaming).
  • Open-source video software (FFMPEG, x264).
  • DLNA/UPnP

THIS POSITION IS FULL TIME IN OUR WIXOM MICHIGAN OFFICE. NO REMOTE, NO RELOCATION ALLOWANCE & NO SPONSORSHIP (now or in the future)
Salary Description
$80000.00 to $110,000.00