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Remote Neural Network Engineer Jobs in Kentucky (NOW HIRING)

Sr. Network Engineer

KY · On-site +1

$98.30K - $134.60K/yr

Remote, with occasional travel Occasional travel to Revecore locations (Florence KY, Cherry Hill NJ ... We are seeking an experienced Senior Network Engineer with a strong background in designing ...

... secure remote access for end users and vendors. • Coordinates and implements network and telecommunication upgrades, updates, and installations. • Documents and maintains network topology ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Subject Matter Expert - Networking

Frankfort, KY · On-site +1

$48.50 - $64.75/hr

... network and security solutions. * Bachelor's or master's degree in Computer Science, Engineering, or related field; relevant industry certifications (CCIE, JNCIE) preferred. Work Arrangement Remote:

Louisville, KY Remote position Fulltime position JD: Must Have Technical/Functional Skills 1 ... Cloud services including storage, databases, and networking. 5.CI/CD pipelines and tools including ...

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ... network, and hybrid cloud infrastructure. The practice helps clients modernize technology and data ...

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ... network, and hybrid cloud infrastructure. The practice helps clients modernize technology and data ...

Psychiatrist - Remote

Louisville, KY · Remote

$119 - $242/hr

Work hand-in-hand with UpLift's network of licensed therapists to deliver world-class, evidence ... Share product and workflow feedback with UpLift's engineering and operations teams to help improve ...

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Remote Neural Network Engineer information

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

Network Engineer

Software Technology Inc

Louisville, KY • On-site, Remote

Other

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


Job description

Sr. Network Engineer

Location: Remote (or Hybrid in Louisville, KY)

Duration: 6 months contract-to-perm

Job Description:

The Senior Engineer, Network plays an integral role in defining and assessing the organization's security strategy, architecture, and practices in all aspects of our enterprise network. You will be required to effectively translate business objectives and risk management strategies into specific security processes enabled by security technologies and services. You’ll use your leadership skills to give guidance, best practice advice and support across all our business and technology groups. You’ll participate with incident response, risk reviews, and vulnerability assessments, identifying threats, which will lead to driving and selecting cost-effective solutions. Deploy best practices, new policies, and emerging trends to enrich our strategic security roadmap.

Scope of Work:

  • Design network policies and controls and dynamic routing, Design VLANs and Isolated L3 networks compliant with required Zero Trust Principals Validate security configurations and access to security infrastructure tools, including firewalls, proxies, IPSs, and WAFs.
  • Review network segmentation to ensure least privilege for network access Develop and maintain security architecture artifacts (e.g., models, templates, standards, and procedures) that can be used to leverage security capabilities in projects and operations.
  • Track developments and changes in the digital business and threat environments to ensure that they're adequately addressed in security strategy plans and architecture artifacts
  • Participate in infrastructure projects to provide security-planning advice
  • Conduct or facilitate threat modeling of services and applications that tie to the risk and data associated with the service or application.
  • Ensure a complete, accurate and valid inventory infrastructure that should be logged by the security information and event management (SIEM) or log management tool.
  • Draft project plans for security service and technology deployments and coordinate with stakeholders across the organization.
  • Technical Skills - Network – LAN, WAN, Wireless.VPN, Firewall, Cloud N/W
  • Certifications are a strong plus, such as CCNP, CISSP, CCIE.