2

Remote Machine Vision Engineer Jobs in Georgia (NOW HIRING)

Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected ... Comfortable in a fully remote, globally distributed team as this role requires daily overlap with ...

Staff Engineer - Full Time - Remote

Atlanta, GA · On-site +1

$121K - $161K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Vision. * Ownership - All Team Members are eligible for synthetic ownership in Experity upon one ... Remote: Team members who live within the U.S. but are not local within a commutable distance from ...

Manufacturing Technology Leader

Atlanta, GA · Remote

$15 - $18.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote Worker - Tennessee, Remote Worker - Texas, Remote Worker - Utah, Remote Worker - Virginia ... Advanced engineering degree. * Iso forming machinery design experience. * Isocyanurate insulation ...

Lead Application/System Sales Engineer - REMOTE

Atlanta, GA · On-site +1

$100K - $123K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Lead Application/System Sales Engineer here at Honeywell, you will play a pivotal role in ... This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term ...

Robotics Perception Engineer

Atlanta, GA · On-site +1

  • Medical

  • Dental

  • Vision

Familiarity with machine learning frameworks (PyTorch, TensorFlow) for perception tasks * Track ... Remote team members are expected to have reliable high-speed internet access and a dedicated ...

Senior AWS DevOps Engineer - Remote - USA

Atlanta, GA · On-site +1

$125K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Engineer to join our team. You'll work with one of our incredible product teams to build and ... Health, dental, and vision insurance. * 401(k) w/ 4% match. * Ample opportunity for career ...

$73K - $174K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) * Retirement ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Showing results 41-60

Remote Machine Vision Engineer information

What does a remote machine vision engineer do?

A Remote Machine Vision Engineer designs, develops, and implements computer vision systems that enable machines to interpret visual information, often working from a remote location. Their tasks include creating algorithms for image processing, integrating hardware like cameras, and collaborating with teams to solve automation or inspection challenges. They may work in industries such as manufacturing, robotics, or healthcare, using technologies like deep learning and neural networks. Remote Machine Vision Engineers typically use tools such as Python, OpenCV, and TensorFlow, and communicate with their teams via digital platforms. This role requires both strong programming skills and a deep understanding of image analysis techniques.

What are the key skills and qualifications needed to thrive as a remote machine vision engineer?

To thrive as a Remote Machine Vision Engineer, you need expertise in computer vision, image processing, programming (such as Python or C++), and a relevant engineering or computer science degree. Familiarity with frameworks like OpenCV, deep learning libraries (TensorFlow or PyTorch), and experience with cloud-based collaboration tools are typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in this role. These skills ensure the accurate design and deployment of vision solutions while maintaining productivity and collaboration in a remote work environment.

How do remote machine vision engineers typically collaborate with cross-functional teams given the remote nature of the role?

Remote Machine Vision Engineers often work closely with software developers, hardware engineers, and project managers through virtual meetings, collaborative platforms, and shared code repositories. Effective communication is essential to ensure alignment on project goals, technical specifications, and integration challenges. Regular video conferences, clear documentation, and agile project management tools help maintain productivity and foster team cohesion, despite being geographically dispersed.

What are the most commonly searched types of Machine Vision Engineer jobs in Georgia?

The most popular types of Machine Vision Engineer jobs in Georgia are:

What are popular job titles related to Remote Machine Vision Engineer jobs in Georgia?

For Remote Machine Vision Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Remote Machine Vision Engineer jobs in Georgia look for?

The top searched job categories for Remote Machine Vision Engineer jobs in Georgia are:

What cities in Georgia are hiring for Remote Machine Vision Engineer jobs?

Cities in Georgia with the most Remote Machine Vision Engineer job openings:

Infographic showing various Remote Machine Vision Engineer job openings in Georgia as of August 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 100% Remote job distribution.

Senior Azure Integration Engineer (Remote Opportunity)

VetsEZ

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

VetsEZ is currently looking for a Senior Azure Integration Engineer for a 100% remote position supporting a large federal government healthcare modernization project. This role will lead the design, development, and implementation of the Next Generation Toxic Exposure Risk Activity (TERA) Automated Gateway (TAG) platform for the Department of Veterans Affairs (VA). The Technical Lead will provide hands-on leadership for Azure-based cloud integration, enterprise data pipelines, and secure interoperability with Department of Defense (DoD) systems while collaborating with cross-functional teams throughout the software development lifecycle.
The ideal candidate will work closely with Data Scientists, Solutions Analysts, Architects, Product Owners, and customer stakeholders to design scalable cloud-native solutions using Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, and modern DevSecOps practices. This position requires strong technical leadership, deep Azure expertise, and experience building enterprise integration solutions in highly regulated environments.
The candidate must reside within the continental US.
Responsibilities
  • Serve as the technical lead for Azure integration and cloud engineering activities, providing architectural guidance and technical oversight.
  • Design, develop, and maintain Azure Data Factory pipelines, Azure Databricks solutions, and Azure Data Lake Storage Gen2 environments for enterprise-scale data ingestion and transformation.
  • Develop secure REST API integrations with the DoD ILER platform and other enterprise systems, ensuring resiliency, scalability, and operational excellence.
  • Establish engineering standards, coding practices, and design patterns while mentoring developers through code reviews and technical guidance.
  • Collaborate with DevSecOps teams to implement CI/CD pipelines, infrastructure automation, monitoring, logging, alerting, and production readiness activities.
  • Produce technical documentation, implementation guides, architecture artifacts, and present technical solutions to leadership and VA stakeholders.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field, or equivalent experience, with 10+ years of software engineering or data engineering experience.
  • 5+ years of experience designing and implementing Microsoft Azure cloud solutions, including Azure Data Factory, Azure Databricks, and Azure Data Lake Storage Gen2.
  • Strong experience developing enterprise integration solutions using REST APIs, cloud-native services, ETL/ELT architectures, and large-scale data pipelines.
  • Expertise with Python, PySpark, SQL, JSON, Git, Azure DevOps, and Azure Monitor.
  • Excellent analytical, problem-solving, and communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
  • Demonstrated experience leading engineering teams or serving as a technical lead on enterprise software projects, with the ability to collaborate effectively across cross-functional teams.

Additional Qualifications
  • Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal agencies.
  • Microsoft Azure certifications such as Azure Developer Associate, Azure Solutions Architect Expert, or Azure Data Engineer Associate are highly desirable.
  • Experience with Azure API Management, Azure Functions, Event Grid, Event Hubs, Service Bus, healthcare or military systems integration, and knowledge of NIST, FISMA, FedRAMP, and secure cloud architecture principles.

Benefits
  • Medical/Dental/Vision.
  • 401k with Employer Match.
  • PTO + Federal Holidays.
  • Corporate Laptop.
  • Training Opportunities.
  • Remote Opportunity.

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.
VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Sorry, we are unable to offer sponsorship at this time.