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Freelance Artificial Intelligence Machine Learning Jobs in Nevada

Sierra Nevada Corporation

Sr AI/ML Engineer

Sparks, NV · On-site

$106K - $146K/yr

D. in Artificial Intelligence, Machine Learning, or a related field. * Experience with hardware acceleration technologies (e.g., CUDA, TensorRT) and high-performance computing systems. * Background ...

Whiterabbit.ai

... with artificial intelligence. We collaborate closely with one of the top medical schools in the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

... with artificial intelligence. We collaborate closely with one of the top medical schools in the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

... with artificial intelligence. We collaborate closely with one of the top medical schools in the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

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Freelance Artificial Intelligence Machine Learning information

What is a freelance artificial intelligence machine learning professional?

Freelance Artificial Intelligence (AI) Machine Learning (ML) professionals are independent experts who develop, implement, and optimize AI and ML models for various clients and projects. They often work remotely or on a contract basis, assisting organizations with tasks such as data analysis, algorithm development, model training, and deployment. Freelance AI/ML specialists typically possess skills in programming languages like Python or R, and are familiar with frameworks such as TensorFlow or PyTorch. Their work ranges from building predictive models and automating processes to consulting on AI strategy and integrating machine learning into business solutions.

What are the key skills and qualifications needed to thrive as a freelance artificial intelligence machine learning specialist?

To thrive as a Freelance Artificial Intelligence/Machine Learning Specialist, you need a strong background in mathematics, statistics, programming (Python or R), and a solid understanding of machine learning algorithms, usually backed by a relevant degree or certifications. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Google Cloud is typically required. Strong problem-solving abilities, self-motivation, and effective client communication are crucial soft skills for success in freelance work. These skills ensure you can deliver high-quality, innovative solutions independently and maintain strong client relationships in a rapidly evolving field.

How do freelance AI/ML professionals typically manage client expectations and project scope?

Freelance AI/ML professionals often work with clients who may not fully understand the technical possibilities or limitations of machine learning solutions. A key challenge is clearly communicating what can be achieved within a given timeframe and budget, and then setting realistic milestones. This often involves regular check-ins, well-documented progress updates, and educating clients about the iterative nature of AI/ML development. Building trust and transparency is essential, as is being flexible to adapt project goals based on data availability or evolving client needs.

What is the difference between Freelance Artificial Intelligence Machine Learning vs Data Scientist?

AspectFreelance Artificial Intelligence Machine LearningData Scientist
CredentialsTypically requires knowledge of AI/ML, programming, and relevant certificationsRequires degrees in data science, statistics, or related fields, often with certifications
Work EnvironmentIndependent, project-based, remote or on-siteUsually employed full-time in organizations, but also freelance options exist
Industry UsageUsed across tech, finance, healthcare, and startups for AI/ML projectsCommon in tech, finance, healthcare, and research sectors for data analysis

Freelance Artificial Intelligence Machine Learning professionals focus on developing AI/ML models independently, often on specific projects, while Data Scientists analyze data to extract insights, typically within organizations. Both roles require strong technical skills, but their work environments and project scopes differ.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Nevada?

The most popular types of Artificial Intelligence Machine Learning jobs in Nevada are:

What are popular job titles related to Freelance Artificial Intelligence Machine Learning jobs in Nevada?

For Freelance Artificial Intelligence Machine Learning jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Freelance Artificial Intelligence Machine Learning jobs in Nevada look for?

The top searched job categories for Freelance Artificial Intelligence Machine Learning jobs in Nevada are:

What cities in Nevada are hiring for Freelance Artificial Intelligence Machine Learning jobs?

Cities in Nevada with the most Freelance Artificial Intelligence Machine Learning job openings:

Freelance Artificial Intelligence Machine Learning jobs near you

AVP, Artificial Intelligence

Credit One Bank

Las Vegas, NV • On-site

Other

Re-posted 23 days ago

Job description

Description
Position Summary
The Assistant Vice President of Artificial Intelligence (AVP of AI) is responsible for leading delivery and execution of AI and machine learning capabilities within a regulated banking, credit card, and financial services environment. Reporting to the VP of AI, this role acts as a hands-on technical leader and people manager for AI Engineers, ensuring AI solutions drive fraud prevention, credit risk management, customer experience personalization, and operational efficiency while meeting regulatory, privacy, and model risk requirements.
Essential Job Functions
  • Lead development and deployment of AI/ML and Generative AI solutions for fraud detection, credit scoring, underwriting, AML, and customer engagement.
  • Serve as technical authority for model architecture, feature engineering, training pipelines, and inference services.
  • Manage and mentor AI Engineers and ML practitioners; provide code and design reviews.
  • Implement AIOps/MLOps and model governance practices aligned with banking regulations and internal Model Risk Management (MRM) standards.
  • Partner with Risk, Compliance, Legal, Cybersecurity, and Data teams to ensure Responsible AI adoption.
  • Oversee model validation, explainability, bias testing, and audit readiness.
  • Collaborate with product and business leaders to translate financial use cases into scalable AI solutions.

Position Requirements
Core AI Concepts and Technologies Required:
  • Machine 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

  • 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

  • Excellent communication, problem-solving, and project management skills
  • Ability to collaborate effectively and follow up ensure achievement of deadlines, outcomes and results.
  • Demonstrate company core values of excellence, ownership, collaboration, and integrity.

Preferred
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
  • 5-8 + years of experience in AI/ML or data science.
  • Experience working with large-scale financial or transactional data is preferred.

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.

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