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Remote Nvidia Machine Learning Jobs in Ann Arbor, MI

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Software Patent Agent (Remote)

Ann Arbor, MI · On-site +1

$80K - $110K/yr

... machine learning, or related technical disciplines . Illustrative subject matter includes patent ... This is a fully remote, full-time or part-time role (your choice) with a flexible work week. The ...

Software Patent Agent (Remote)

Ann Arbor, MI · On-site +1

$100K - $150K/yr

... machine learning, or related technical disciplines . Illustrative subject matter includes patent ... This is a fully remote, full-time or part-time role (your choice) with a flexible work week. The ...

Showing results 21-33

Remote Nvidia Machine Learning information

See Ann Arbor, MI salary details

$24.9K

$41.7K

$86.1K

How much do remote nvidia machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote nvidia machine learning in Ann Arbor, MI is $41,661.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,800.00 and $45,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Nvidia Machine Learning vs Remote Data Scientist?

AspectRemote Nvidia Machine LearningRemote Data Scientist
Required CredentialsDeep learning, GPU programming, Nvidia certificationsStatistics, programming, data analysis
Work EnvironmentFocus on GPU-accelerated ML models, Nvidia toolsData analysis, modeling, visualization
Industry UsageAI, autonomous vehicles, gaming, HPCBusiness analytics, research, finance

Remote Nvidia Machine Learning specialists focus on developing GPU-accelerated AI models using Nvidia technologies, often requiring specific certifications and expertise in GPU programming. In contrast, Remote Data Scientists analyze data, build predictive models, and interpret results across various industries. While both roles involve data and programming skills, Nvidia Machine Learning roles are more specialized in GPU-based AI development, whereas Data Scientists have broader data analysis responsibilities.

DevOps Engineer Live Streaming- Wixom, MI

J&B Medical

Wixom, MI • On-site, Remote

$80K - $110K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


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