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Remote Neural Network Engineer Jobs in Florida (NOW HIRING)

The Network Engineer II is a senior engineer accountable for the technical design and integrity of ... This is a full-time, remote position supporting multiple practice locations and requires regular ...

To engineer a smarter internet experience. That means internet that's fast, reliable, and simply ... This is a remote role* Essential Duties and Responsibilities: * Lead, mentor, and develop a team of ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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

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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 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 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 Florida?

For Remote Neural Network Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Remote Neural Network Engineer jobs in Florida look for?

The top searched job categories for Remote Neural Network Engineer jobs in Florida are:

What cities in Florida are hiring for Remote Neural Network Engineer jobs?

Cities in Florida with the most Remote Neural Network Engineer job openings:

Network Engineer II

Miami, FL • On-site, Remote

OneOncology
Health Care and Social Assistance • 1 - 5K employees

Full-time

Posted 4 days ago


OneOncology rating

7.9

Company rating: 7.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

OneOncology is positioning community oncologists to drive the future of medical care through a patient-centric, physician-driven, and technology-powered model to help improve the lives of everyone living with cancer and other diseases. Our team is bringing together leaders to the market place to help drive OneOncology's mission and vision.

Why join us? This is an exciting time to join OneOncology. Our values-driven culture reflects our startup enthusiasm supported by industry leaders in oncology, urology, technology, and finance. We are looking for talented and highly-motivated individuals who demonstrate a natural desire to improve and build new processes that support the meaningful work of independent physicians and the patients they serve.

Job Description:

OneOncology'sIT Operations team is the engine that keeps the infrastructure, identity, and management platform running for every OneOncology practice. IT Operations owns proactive monitoring, patching, backup, identity governance, network engineering, and Tier 3 escalation across the enterprise.

The Network Engineer II is a senior engineer accountable for the technical design and integrity of the network domain - enterprise switching, routing, wireless, perimeter firewalls, and voice/telephony systems.The role acts as Tier 3 escalation authority andstandardsowner within the network domain. The ideal candidate brings deep networkingexpertise, sound architecture judgment across cost, complexity, and security, and strong vendor management skills.

This is a full-time, remote position supporting multiple practice locations and requires regular travel between sites. Candidateslocatedin the South Florida area are strongly preferred.

Responsibilities:

  • Ownnetwork architecture and standards across switching, routing, wireless, perimeter firewalls, and voice/telephony infrastructure.

  • Lead design reviews for practice-side network changes andnet-newimplementations.

  • Act as Tier 3 escalation authority for major network incidents.

  • Drive tool and vendor evaluations for network platforms.

  • Mentor Network Engineers and Administrators on architecture and standards.

  • Represent the network domain in security reviews, audits, and compliance work.

  • Contribute tostandardsevolution and the IT Standards Matrix.

  • Partner with Projects on complex network deliveries and clean hand-offs.

  • Coordinate with Systems Engineering on integration points between network and systems.

  • Manage strategic ISP and telecom vendor relationships.

  • Participate in on-call rotation.

  • Occasional travel to practice sites, if needed.

  • Additionalresponsibilities as assigned to help drive our mission of improving the lives of everyone living with cancer.

Required or Preferred Qualifications (specify within):

  • 8 to 10 years of progressive network engineering experience

  • Bachelor's degree in a relevant field preferred; equivalent experience considered.

  • High school diploma or GED

  • Experience with voice/telephony platforms (VoIP, SIPtrunking,UCaaS, or contact center solutions)

  • Experience with the following is a plus: Aruba switching/wireless, Palo Alto firewalls,Fortinet,Auvik, and ServiceNow.

Preferred

  • Healthcare-related experience

  • Managed Service Provider (MSP) experience

  • Senior-level or expert technical certifications,such as Aruba ACMA/ACMX, Palo Alto PCNSE, or Cisco CCNP.

Essential Competencies:

  • Multi-platform network engineering strength across switching, routing, wireless, and firewalls.

  • Architecture judgment across cost, complexity, and security dimensions.

  • Vendor and stakeholder management skills for network platforms and ISPs.

  • Excellent technical writing and design communication.

  • Working understanding of systems and identitysufficientto design integrated solutions.

  • Attendance is an essential job function.


What OneOncology employees say

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