Lead Artificial Intelligence Engineer

Credit One Bank

Las Vegas (NV)

On-site

USD 140,000 - 200,000

Full time

12 hours ago
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Job summary

Credit One Bank in Las Vegas seeks a Lead Artificial Intelligence Engineer to design, train, and deploy ML and DL solutions for fraud, risk, and customer analytics within a regulated banking environment.

You will build scalable data pipelines, implement MLOps, ensure model explainability, and collaborate with risk, compliance, and data teams to deliver reliable AI capabilities across the enterprise.

Qualifications

  • Bachelor’s degree in CS, Engineering, Data Science, or related field.
  • 3–7 years of AI/ML or data science experience.
  • Experience with large-scale financial or transactional data preferred.

Responsibilities

  • Develop, train, and optimize ML, DL, and Generative AI models for fraud, credit risk, and analytics.
  • Implement data pipelines, feature engineering, and model inference services.
  • Deploy and monitor models using MLOps and governance practices.
  • Support model explainability, bias analysis, and regulatory documentation.
  • Collaborate with data engineers, risk, and compliance teams.

Skills

ML Modeling
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Deep Learning
NLP & LLMs
Generative AI
MLOps
Model Training
Deployment & Monitoring
Fairness & Governance
Privacy-Preserving ML
Python
PyTorch
TensorFlow
JAX
LangChain
Vector Embeddings
LLM Orchestration

Education

Bachelor’s degree in CS/Engineering/Data Science

Tools

Databricks
Snowflake
Synapse
Azure ML
AWS SageMaker
Google Vertex AI
Kubernetes
Docker
Model Registries
Feature Stores

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 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.

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