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Vp Racing Fuels Jobs in Nevada (NOW HIRING)

General information Name Vice President, Sustainability Ref # 3316 City Las Vegas State Nevada ... All qualified applicants will receive consideration for employment without regard to race, color ...

VP, Finance

Las Vegas, NV · On-site

$160K - $180K/yr

VP, Finance Location: Los Angeles, CA | Las Vegas, NV | New York, NY | London, UK Reports To: CFO ... We do not discriminate on the basis of race, religion, color, national origin, gender, sexual ...

Vice President of Business Development Who We Are: GEODIS specializes in unlocking business value ... Fuel your career with GEODIS and discover endless growth opportunities. Your role on the team:

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Vp Racing Fuels information

What are some common challenges faced by professionals working at VP Racing Fuels, and how can applicants prepare to overcome them?

Professionals at VP Racing Fuels often navigate fast-paced environments where attention to detail, strict safety standards, and timely delivery are essential. Common challenges include managing fluctuating demand, ensuring product quality, and coordinating logistics for motorsport events or commercial partners. Applicants can prepare by gaining experience in supply chain management, staying updated on fuel regulations, and developing strong communication skills to collaborate effectively with cross-functional teams. Adapting quickly to changing priorities and maintaining a customer-focused mindset are also key to success in this industry.

What does a VP Racing Fuels representative do?

A VP Racing Fuels representative is responsible for promoting and selling the company's high-performance racing fuels, lubricants, and additives to motorsport teams, dealers, and distributors. They work closely with clients to understand their fuel needs, provide technical support, and ensure product delivery. Their role may also include attending racing events, conducting product demonstrations, and supporting marketing initiatives to increase brand awareness. Overall, they serve as the main point of contact between VP Racing Fuels and its customers in the motorsports industry.

What are the key skills and qualifications needed to thrive as a VP Racing Fuels Sales Executive, and why are they important?

To thrive as a VP Racing Fuels Sales Executive, you need in-depth knowledge of fuel products, sales strategies, and the motorsports industry, often supported by a relevant degree and experience in B2B sales. Familiarity with CRM platforms, sales tracking software, and fuel testing or logistics systems is also critical. Exceptional communication, relationship-building, and negotiation skills help you connect with clients and close deals. These abilities are crucial for driving revenue growth, building client loyalty, and maintaining VP Racing Fuels’ competitive edge.

What is the difference between Vp Racing Fuels vs Race Fuel Technician?

AspectVp Racing FuelsRace Fuel Technician
CredentialsKnowledge of fuel chemistry, certifications in fuel handlingTechnical training in fuel systems, certifications in safety and handling
Work EnvironmentManufacturing plants, laboratories, racing eventsRace tracks, garages, fuel testing facilities
Industry UsageFuel production, distribution, and testing for motorsportsPreparation, testing, and management of race fuels at events

Vp Racing Fuels focuses on producing and supplying high-performance fuels, while Race Fuel Technicians handle the application, testing, and management of these fuels at racing events. Both roles require technical knowledge of fuels but differ in their daily responsibilities and work environments.

What are the most commonly searched types of Racing Fuels jobs in Nevada? The most popular types of Racing Fuels jobs in Nevada are:
What cities in Nevada are hiring for Vp Racing Fuels jobs? Cities in Nevada with the most Vp Racing Fuels job openings:
Infographic showing various Vp Racing Fuels job openings in Nevada as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, and 15% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
Vice President II, Artificial Intelligence (VP of AI)

Vice President II, Artificial Intelligence (VP of AI)

Credit One Bank

Las Vegas, NV

Full-time

Posted 15 hours ago


Job description

Position Summary 

The Vice President of Artificial Intelligence (VP of AI) will lead enterprise-wide AI strategy, innovation, and execution. This role oversees the development, deployment, and governance of AI/ML systems across the organization, ensuring measurable business value, responsible AI practices, and alignment with corporate strategic goals. The VP of AI collaborates closely with Technology, Data, Operations, Risk, Compliance, and Business Unit leadership to build scalable AI platforms, optimize business processes, and accelerate digital transformation.

Essential Job Functions
  • Define and lead the enterprise AI strategy, including advanced analytics, machine learning, deep learning, and generative AI capabilities.
  • Build and oversee AI Centers of Excellence (CoE) to drive innovation, reusable solutions, and best practices.
  • Partner with IT, Data Engineering, and Cloud teams to establish a scalable AI/ML platform and MLOps frameworks.
  • Identify high-impact AI opportunities that drive automation, operational efficiency, customer experience improvements, and revenue growth.
  • Establish standards for Responsible AI, model governance, explainability, bias detection/mitigation, and regulatory compliance.
  • Lead the development, deployment, and lifecycle management of AI/ML models across multiple business units.
  • Oversee the creation of reusable AI components, annotation processes, model training pipelines, and evaluation frameworks.
  • Implement enterprise-wide generative AI solutions including LLMs, copilots, prompt engineering frameworks, and knowledge automation tools.
  • Collaborate with cybersecurity leaders to implement secure AI architectures, data protection controls, and model threat-defense mechanisms.
  • Promote cross-functional collaboration through transparency, communication, and evangelism of AI capabilities.
  • Build and manage high-performing AI teams including machine learning engineers, data scientists, AI product managers, and researchers.
  • Support annual planning, budgeting, strategic roadmaps, and executive-level presentations for AI programs.
  • Continuously monitor emerging AI trends, tools, and technologies and recommend adoption as appropriate.
  • Perform other duties as assigned.
Position Requirements
  • Bachelor’s degree in computer science, Engineering, Data Science, or related field. Master’s or PhD preferred.
  • 12–15+ years of progressive experience in AI/ML, software engineering, or data science, with 7+ years in leadership roles.
  • Demonstrated experience architecting, deploying, and scaling machine learning or deep learning systems in production.
  • Deep knowledge of Responsible AI frameworks, risk controls, and regulatory expectations.
  • Strong experience with cloud platforms (Azure preferred), distributed systems, and MLOps.
  • Exceptional communication skills, with ability to translate complex AI concepts for senior executives.
  • Proven ability to lead and inspire diverse technical teams.
  • Ability to drive outcomes, influence strategic decisions, and deliver business value.
  • Demonstrated alignment with company values of excellence, ownership, collaboration, and integrity.
PreferredCore AI Concepts and Technologies RequiredMachine Learning & Modeling
  • Supervised, unsupervised, reinforcement learning
  • Deep learning (CNNs, RNNs, Transformers)
  • Natural Language Processing (NLP) & LLMs
  • Generative AI (diffusion models, fine-tuning, RAG)
AI Engineering & MLOps
  • Model training, deployment, monitoring, and retraining
  • Feature stores, vector databases, and model registries
  • CI/CD pipelines for ML (MLOps)
  • GPU/accelerator compute architectures
Cloud & Infrastructure
  • Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI
  • Kubernetes, containerization, microservices
  • Data platforms (Databricks, Snowflake, Synapse)
Responsible AI & Governance
  • Model explainability (SHAP, LIME)
  • Fairness, bias detection, model risk controls
  • Privacy-preserving ML techniques (differential privacy, federated learning)
Programming & Tooling
  • Python, PyTorch, TensorFlow, JAX
  • LangChain, semantic search, vector embeddings
  • Prompt engineering & LLM orchestration frameworks
Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.