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Remote Nvidia Deep Learning Jobs in West Virginia

Head of AI - Platform AI

Charleston, WV · Remote

$215K - $245K/yr

This role focuses on implementing cutting-edge machine learning, deep learning, and automation ... This remote work role will consider applicants that currently reside in the continental United ...

$64K - $86K/yr

Write effective learning objectives and apply recognized instructional design methodologies for ... Build a deep understanding of all new and existing customer service and sales business processes ...

New

Principal Software Engineer

Charleston, WV · On-site +1

$124K - $167K/yr

We believe in the power and joy of learning At Cengage, our employees have a direct impact in ... As a successful technology leader, you will build and lead remote software engineering ...

... learning and delivery. * Conducts or supervises market research, customer discovery, and ... Deep experience with innovation frameworks (e.g., design thinking, lean startup, agile ...

You\'re curious about Fintech and want to get deep into the space What we offer: * Fully remote, fully flexible * Competitive base + bonus system tied to results * Constant learning -- we invest in ...

Approximately $17/hour for Learning Explicitness & Translation Quality * Location: Remote work ... A deep understanding of linguistic nuances, idioms, and cultural context in both languages. * The ...

Senior Product Manager

Charleston, WV · Remote

$117K - $154K/yr

... learning--developing deep customer and domain expertise, defining strategy and roadmaps, and ... You'll operate with significant independence in a remote and asynchronous environment ...

Remote (ET or CT (preferred), MT or PT is ok, but MUST be open to working EST only without any ... We're looking for 2 analysts/engineers with deep Calypso expertise to assist with our fixed income ...

$130K - $150K/yr

This fully remote role will focus on developing and maintaining sophisticated quantitative models ... deep analysis of business metrics to uncover deficiencies and opportunities that drive revenue and ...

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Remote Nvidia Deep Learning information

What is the difference between Remote Nvidia Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Nvidia Deep LearningRemote Machine Learning Engineer
Required CredentialsDeep learning certifications, Nvidia GPU expertise, programming skills in Python and CUDAMachine learning certifications, Python, data analysis, model deployment skills
Work EnvironmentRemote, GPU-intensive tasks, AI research, model trainingRemote, data processing, model development, deployment
Industry UsageAI research labs, tech companies, autonomous vehiclesTech firms, finance, healthcare, e-commerce

Remote Nvidia Deep Learning focuses on developing AI models using Nvidia GPUs and CUDA, often in research or AI-specific roles. Remote Machine Learning Engineers work on building and deploying machine learning models across various industries. While both roles require programming and data skills, Nvidia Deep Learning emphasizes GPU expertise and AI research, whereas Machine Learning Engineers focus on broader model deployment and application.

What are popular job titles related to Remote Nvidia Deep Learning jobs in West Virginia? For Remote Nvidia Deep Learning jobs in West Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Nvidia Deep Learning jobs in West Virginia look for? The top searched job categories for Remote Nvidia Deep Learning jobs in West Virginia are:
What cities in West Virginia are hiring for Remote Nvidia Deep Learning jobs? Cities in West Virginia with the most Remote Nvidia Deep Learning job openings:
Infographic showing various Remote Nvidia Deep Learning job openings in West Virginia as of July 2026, with employment types broken down into 68% Full Time, 29% Part Time, and 3% Contract. Highlights an 68% Physical, 3% Hybrid, and 29% Remote job distribution.

Head of AI - Platform AI

Zayo

Charleston, WV • Remote

$215K - $245K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Zayo rating

8.0

Company rating: 8.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

28th of 96 rated telecommunications companies


Job description

Company Description

Zayo provides mission-critical bandwidth to the world's most impactful companies, fueling the innovations that are transforming our society. Zayo's 141,000-mile network in North America and Europe includes extensive metro connectivity to thousands of buildings and data centers. Zayo's communications infrastructure solutions include dark fiber, private data networks, wavelengths, Ethernet, and dedicated Internet access. Zayo serves wireless and wireline carriers, media, tech, content, finance, healthcare and other large enterprises.

Position Overview

Our Head of AI will lead the strategic design, development, and deployment of AI-driven solutions across the organization. This role focuses on implementing cutting-edge machine learning, deep learning, and automation technologies to drive innovation, enhance operational efficiency, and deliver measurable business outcomes. Reporting to the VP, Architecture, Cloud & AI, this leader will advance the organization's AI capabilities and foster a culture of continuous innovation.

Location: This remote work role will consider applicants that currently reside in the continental United States.

Key Responsibilities

AI Strategy and Innovation:

  • Develop and execute a comprehensive AI roadmap aligned with business objectives.

  • Lead the research and implementation of large-scale AI models (e.g., LLMs, Vision Transformers) and automation frameworks.

AI System Development:

  • Design and deploy AI solutions for predictive analytics, intelligent automation, and real-time decision systems.

  • Lead the end-to-end lifecycle of AI projects, including data engineering, model development, testing, and production deployment.

AI Infrastructure and Scalability:

  • Build and optimize infrastructure for distributed AI training using GPUs, TPUs, and cloud platforms such as AWS, Azure, and Google Cloud.

  • Implement advanced MLOps frameworks for efficient model deployment and monitoring.

Team Leadership:

  • Build and lead a high-performing team of AI researchers and engineers.

  • Foster collaboration between AI teams and cross-functional departments to ensure alignment with business goals.

Ethics and Compliance:

  • Ensure the development of responsible AI systems that address bias, fairness, and regulatory compliance.

Qualifications

  • Minimum of ten (10) years of experience in AI research and deployment, with at least 5 years in leadership roles.

  • Deep expertise in transformer-based models (e.g., GPT, BERT, T5), computer vision, and multimodal AI.

  • Hands-on experience with AI frameworks such as TensorFlow, PyTorch, and JAX.

  • Proven track record of deploying large-scale AI systems with measurable business impact.

Estimated base salary range: $215,000 - $245,000 USD/annually.

#LI-Remote

The base pay range shown is a guideline and reasonable estimate for this role. It takes into account the wide variety of factors that are considered in making compensation decisions. Actual compensation offered may vary from the posted range based upon geographic location, work experience, skill level, certifications, and other business and organizational needs. Non- sales roles may be eligible to participate in a discretionary annual incentive plan. Sales roles may be eligible to participate in a sales incentive plan.

Additionally, this position may be eligible for certain benefits, such as health insurance, life insurance, disability retirement plans, paid time off.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

Benefits, Rewards & Wellness

  • Excellent Health, Dental & Vision Insurance

  • Retirement 401(k) Savings Plan

  • Generous paid time off policy including paid parental leave

Zayo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.


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