1

Weekend Financial Data Engineer Jobs in Nevada (NOW HIRING)

VP of Data & Analytics

Las Vegas, NV · On-site

$260 - $320/hr

Cross-functional stakeholder management -- has served both technical teams (gamedevelopers, ML engineers) and business stakeholders (CFO, VP Sales) with data products * Bachelor's or Master's degree ...

Cross-functional stakeholder management - has served both technical teams (game developers, ML engineers) and business stakeholders (CFO, VP Sales) with data products * Bachelor's or Master's degree ...

Work with platform squads to define engineering standards, best practices, and tooling required for ... A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank ...

Showing results 41-60

Weekend Financial Data Engineer information

What is the difference between Weekend Financial Data Engineer vs Weekend Financial Data Analyst?

AspectWeekend Financial Data EngineerWeekend Financial Data Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related field; experience with data engineering toolsBachelor's in Finance, Economics, or related; strong analytical skills
Work EnvironmentFocus on building data pipelines, managing databases, and infrastructureFocus on analyzing data, creating reports, and providing insights
Employer & Industry UsageFinancial institutions, fintech companies, investment firmsBanking, investment firms, financial consultancies
Common Search & ComparisonOften compared based on technical skills and infrastructure tasksCompared based on analytical skills and reporting capabilities

The Weekend Financial Data Engineer primarily focuses on developing and maintaining data infrastructure, requiring technical skills in data engineering tools. In contrast, the Weekend Financial Data Analyst emphasizes analyzing financial data and generating insights. Both roles are vital in financial organizations but differ in their core responsibilities and skill sets.

What are the most commonly searched types of Financial Data Engineer jobs in Nevada? The most popular types of Financial Data Engineer jobs in Nevada are:
What are popular job titles related to Weekend Financial Data Engineer jobs in Nevada? For Weekend Financial Data Engineer jobs in Nevada, the most frequently searched job titles are:
What cities in Nevada are hiring for Weekend Financial Data Engineer jobs? Cities in Nevada with the most Weekend Financial Data Engineer job openings:
Infographic showing various Weekend Financial Data Engineer job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Lead Artificial Intelligence Engineer

Credit One Bank

Las Vegas, NV

$99K - $130K/yr

Full-time

Re-posted 14 days ago


Job description

Description

Position Summary

The Lead Artificial Intelligence Engineer develops and produces AI and machine learning solutions supporting banking and credit card businesses. This role focuses on building scalable, explainable, and compliant AI models for fraud detection, credit risk, customer analytics, and operational intelligence.

Essential Job Functions
  • Develop, train, and optimize ML, deep learning, and Generative AI models.
  • Implement data pipelines, feature engineering, and model inference services.
  • Deploy and monitor models using enterprise MLOps practices.
  • Support model explainability, bias analysis, and regulatory documentation.
  • Collaborate with data engineers, risk, and compliance teams.
Position RequirementsCore 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
    • 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
Preferred
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
  • 3–7 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.