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Remote Neural Network Engineer Jobs in Virginia (NOW HIRING)

Intelligent Waves LLC

Products Engineer

Reston, VA · On-site +1

The ideal candidate brings a strong background in cloud technologies, network engineering ... This position is 100% remote with travel. Travel: Ability to travel up to 30% of the time and will ...

CGI Inc.

Remote Support Engineer, Junior

Arlington, VA · On-site +1

Remote Support Engineer, Junior Category: Service Desk / End User Services Main location: United ... Strong troubleshooting skills, understanding of computer hardware and software, networking basics ...

QCi

Job Title: Software Engineer, Full Stack Location: Remote Division: Technology Department ... Implement network configuration interfaces that replace and extend existing CLI-based workflows ...

TekSynap

Transport Engineer

Arlington, VA · On-site +1

Experience: * 3+ years of experience in the field of network engineering or a related area ... Remote * Noise level: Medium * Work schedule: Schedule is day shift Monday - Friday. May be ...

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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, and why are they important?

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 Virginia? The most popular types of Neural Network Engineer jobs in Virginia are:
What are popular job titles related to Remote Neural Network Engineer jobs in Virginia? For Remote Neural Network Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Neural Network Engineer jobs in Virginia look for? The top searched job categories for Remote Neural Network Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Neural Network Engineer jobs? Cities in Virginia with the most Remote Neural Network Engineer job openings:
Remote Neural Network Engineer jobs near you

Remote - Mobility Solutions Enterprise Architect

Veredus - DC

Vienna, VA • Remote

$50/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 18 days ago

Job description

Company Description

Veredus recently named one of the "Best Staffing Firms to Work for in 2012" by Staffing Industry Analysts!

$50/hr - contract to perm

***REMOTE WORK*** 

Travel required but not on a consistent basis- up to 20%

Job Description

Strong experience in all areas of the Software Development Lifecycle (SDLC) and Infrastructure is needed for an immediate contract to hire opportunity.   Ideal candidates would have a good balance of experience in managing large infrastructure projects, leading software development projects (WEB) and deploying large packaged software implementations.

Experience with MDM (Mobile Device Management), BYOD (Bring your own Device), or MAM (Mobile Application Management) particular focus on implementing Enabling Workforce Mobility options including BYOD.   

Thorough knowledge of the Systems/Software Implementation Life Cycle combined with a STRONG technical background is required. This is not a hands-on technical position but requires architecture experience to understand the issues and the technical hurdles and be able to correlate those into project impact and deliverables. 

Candidate should have prior technical experience to allow the Architect to help drive technical meetings, impact design decisions and understand the technical obstacles facing their team. Prior experience can be as a Software Engineer, Development Manager, Network Engineer, Sys Admin, DBA, Technical BA, or related technical discipline.

Prior experience as a Enterprise Architect for package software implementations, network deployments, and other large infrastructure environments will also be very helpful. Prior experience managing large infrastructure build outs, planning, design and upgrades will also be a big plus.

Participation and facilitation in vendor engagement reviews/new proposal process that is aligned to AT&T procurement process and ITS VM process. 

Assist in establishing a governance model and development framework to ensure a consistent, managed, and best-in-class approach to the mobile enablement of devices, users, applications, information, and experiences for employees, vendors, volunteers and partners.

Working with ITS counterparts, and facilitating granular requirements capture from AT&T Business units , assist in the implementation of  the AT&T workforce mobility strategy, business case, funding model, architecture & development standards, and the organizational change management program
Socialize the workforce mobility strategy and operational support model in partnership with the IT Operations group
Facilitate the process for prioritizing and remediation of  enterprise wide apps for mobile device use that automates business processes or extend existing applications

Qualifications

Additional Details:

  • The candidatew will be to be discovering problems; analyzing problems;  architecture and solution around problem; then putting documenting and presenting to the client
  • Strong verbal skills -and very strong presentation skills ; fast paced; MS office -EXPERT; expert in excel sheets; putting budgets together; technical background as important as well because they are putting together the solution (network tie ins etc; customization for mobility connections)
  • Working on 6-10 customer accounts per month
  • Travel Required -not on constant basis up to 20%
  • This is not an engineer position it is a technical/business architect
Additional Information

Why Veredus?

Candidates work with a professional recruiter whose average experience is eight years in the industry. That means they have intimate knowledge of the Information Technology industry and market trends-who is in demand now and who will be next. Your Veredus Recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and desires. They also counsel their candidates in resume writing, interviewing, and career planning so when there's a position you really want, you're fully prepared to get it. Additionally, Veredus provides the following benefits:

o Medical Benefits
o Consultant Lunches and Outings
o Dental Benefits
o Life Insurance ($20,000 benefit)
o Vision
o ATOP-Accrued Time Off Program
o 401K
o Consultant Web-Site
o Name Plates
o Care packages/Survival packs
o Dedicated Consulting Services Representative

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