Lead Artificial Intelligence Engineer

Las Vegas, NV, US • Posted 7 days ago • Updated 7 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Banking
  • Fraud
  • Credit Risk
  • Customer Analysis
  • Documentation
  • Collaboration
  • Regulatory Compliance
  • Modeling
  • Management
  • Deep Learning
  • Natural Language Processing
  • Generative Artificial Intelligence (AI)
  • Training
  • Vector Databases
  • Continuous Integration
  • Continuous Delivery
  • Machine Learning Operations (ML Ops)
  • GPU
  • Cloud Computing
  • Microsoft Azure
  • Amazon SageMaker
  • Vertex
  • Kubernetes
  • Microservices
  • Databricks
  • Snow Flake Schema
  • Privacy
  • Python
  • PyTorch
  • TensorFlow
  • JAX
  • LangChain
  • Semantic Search
  • Prompt Engineering
  • Orchestration
  • Computer Science
  • Artificial Intelligence
  • Machine Learning (ML)
  • Data Science
  • Financial Services
  • Spectrum
  • Credit Cards
  • Finance

Summary

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 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
    • 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10206064
  • Position Id: 2316385bbeca010cfd8a52ed8895de55
  • Posted 7 days ago
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