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Remote Neural Network Engineer Jobs in Georgia (NOW HIRING)

Ditto

$223K - $305K/yr

Our mission is to make it seamless for developers to build resilient, real-time applications, regardless of network conditions. Whether you're in a stadium, airplane, or remote military base, Ditto ...

Merci Technologies - Talent

AWS Cloud Engineer

Atlanta, GA · Remote

$53.50 - $71.75/hr

Remote About the Role: Merci Technologies is seeking an AWS Cloud Engineer to design, build, and ... Troubleshoot infrastructure issues across networking, compute, and storage layers * Support ...

Truist

NEXTHINK Infrastructure Engineer

Atlanta, GA · Remote

$103K - $135K/yr

Develop and maintain remote actions and automation flows to enable proactive remediation ... cloud, network, database, storage, platform, computing, or middleware domains. 2. Applies ...

TRC Talent Solutions

Propulsion Engineer

Sandy Springs, GA · On-site +1

$69.75 - $70/hr

Position can sit remote or in Atlanta. This Propulsion Engineer will combine deep expertise in ... Knowledge of cryogenic systems, fluid network modeling (GFSSP, ROCETS), and aerospace hardware.

Posted today

Motorola

Senior DevOps Engineer (US REMOTE)

Atlanta, GA · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Familiarity with TCP/IP networking and troubleshooting tools (WireShark, TCPDump, SNGrep, nslookup)

iboss

Federal Software Engineer - Remote

Atlanta, GA · On-site +1

This eliminates the need for traditional network security appliances, such as VPNs, firewalls and ... To learn more, visit As a C++ Software Engineer at iboss, you will have the opportunity to work on ...

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All JobsNeural Network Engineer JobsRemote Neural Network Engineer JobsRemote Neural Network Engineer Jobs in Georgia

Remote Neural Network Engineer information

What is a remote neural network engineer?

A Remote Neural Network Engineer is a specialized software engineer who designs, develops, and maintains neural network models while working from a remote location. They use deep learning frameworks such as TensorFlow or PyTorch to build algorithms that mimic the human brain for tasks like image recognition, natural language processing, and predictive analytics. These engineers collaborate with teams virtually and leverage cloud computing resources to train and deploy models. The role requires strong programming, mathematical, and analytical skills, as well as experience working in distributed team environments.

What is the difference between Remote Neural Network Engineer vs Data Scientist?

AspectRemote Neural Network EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; experience with neural networks and deep learning frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentRemote, tech companies, AI research labsRemote or on-site, diverse industries including finance, healthcare, tech
Industry UsagePrimarily in AI, machine learning, and deep learning projectsData analysis, predictive modeling, business insights

While both roles involve working with data and machine learning, a Remote Neural Network Engineer specializes in designing and implementing neural network models, often requiring deep learning expertise. A Data Scientist focuses on analyzing data to extract insights, using a broader set of tools including statistical methods and machine learning. The roles overlap in skills but differ in focus and application.

What are the key skills and qualifications needed to thrive as a remote neural network engineer?

To thrive as a Remote Neural Network Engineer, you need a strong background in computer science, mathematics, and deep learning principles, often supported by a relevant degree and prior experience in AI or machine learning roles. Proficiency in programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms are essential, and certifications in machine learning can be advantageous. Excellent problem-solving skills, self-motivation, and effective remote communication are key soft skills for collaboration and independent work. These skills and qualities ensure the engineer can design, implement, and optimize neural network solutions efficiently while contributing effectively to distributed teams.

How does a remote neural network engineer typically collaborate with cross-functional teams when working from a distance?

As a Remote Neural Network Engineer, collaboration with cross-functional teams—such as data scientists, software engineers, and product managers—is primarily facilitated through virtual communication platforms and project management tools. Regular video meetings, code reviews, and shared documentation are essential to ensure alignment on project goals and progress. Clear communication and proactive sharing of updates are crucial to overcoming the lack of in-person interaction. Additionally, remote engineers often use collaborative coding environments and version control systems to streamline joint development efforts and maintain code quality.
What are the most commonly searched types of Neural Network Engineer jobs in Georgia? The most popular types of Neural Network Engineer jobs in Georgia are:
What are popular job titles related to Remote Neural Network Engineer jobs in Georgia? For Remote Neural Network Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Neural Network Engineer jobs in Georgia look for? The top searched job categories for Remote Neural Network Engineer jobs in Georgia are:
What cities in Georgia are hiring for Remote Neural Network Engineer jobs? Cities in Georgia with the most Remote Neural Network Engineer job openings:
Remote Neural Network Engineer jobs near you

Senior DevOps Engineer (Remote Opportunity)

VetsEZ

Atlanta, GA • On-site, Remote

$125K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description

VetsEZ is currently looking for a Senior DevOps Engineer for a 100% remote position supporting a large federal government healthcare modernization project. In this role, you will support the design, implementation, and maintenance of a secure Azure-based integration platform that connects CRM applications with enterprise backend databases. You will work closely with software engineers, architects, and infrastructure teams to build automated deployment pipelines, manage cloud infrastructure, and implement DevOps and DevSecOps best practices using Azure, Terraform, GitHub, and .NET technologies.
The ideal candidate will bring strong experience in Azure architecture, cloud automation, CI/CD pipeline development, Infrastructure as Code (IaC), and system administration while helping improve platform reliability, scalability, and security. This position offers the opportunity to modernize cloud infrastructure, streamline software delivery, and leverage AI-assisted development tools to improve engineering productivity.
The candidate must reside within the continental US.
Responsibilities
  • Design, build, and maintain GitHub CI/CD pipelines to automate application deployments across multiple environments.
  • Administer and support Azure cloud infrastructure, including provisioning, configuration, networking, and ongoing system maintenance.
  • Develop and maintain Infrastructure as Code (IaC) solutions using Terraform to automate cloud resource provisioning.
  • Create and maintain PowerShell scripts and platform automation to improve operational efficiency and deployment consistency.
  • Collaborate with cross-functional engineering teams to implement DevOps and DevSecOps best practices, troubleshoot production issues, and improve platform reliability while maintaining technical documentation and participating in Agile ceremonies.
  • Leverage AI-powered development tools to accelerate engineering activities, automate routine tasks, and improve development workflows.
  • 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, Information Technology, Engineering, or a related field, or equivalent professional experience, with 7+ years of DevOps engineering experience supporting enterprise cloud environments.
  • Advanced experience designing, implementing, and maintaining Azure cloud infrastructure and Azure DevOps solutions.
  • Strong experience creating and maintaining CI/CD pipelines using GitHub Actions, Terraform, and Infrastructure as Code (IaC) methodologies.
  • Experience with Azure system administration, PowerShell scripting, cloud networking, container technologies, and .NET application deployments.
  • Strong analytical, troubleshooting, and problem-solving skills with excellent attention to detail and technical documentation abilities.
  • Excellent communication and collaboration skills with experience working in Agile software development environments and cross-functional technical teams.

Additional Qualifications
  • Experience implementing DevSecOps practices, security automation, and compliance controls within Azure cloud environments.
  • Experience with containerization technologies such as Docker, Kubernetes, or Azure Kubernetes Service (AKS).
  • Experience supporting Department of Veterans Affairs (VA), Department of Defense (DoD), or other federal healthcare modernization programs, along with experience using AI-assisted development tools such as GitHub Copilot or ChatGPT.

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.

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