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Ml Infrastructure Engineer Jobs in Nevada (NOW HIRING)

Bespoke Labs

Data Engineer

Henderson, NV · On-site

$104K - $125K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Sparks, NV · On-site

$117K - $140K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Carson City, NV · On-site

$112K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Las Vegas, NV · On-site

$109K - $131K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Moove

Staff Software Engineer

Las Vegas, NV

... cloud infrastructure and deployment pipelines, including AI/ML or LLM-driven components in ... Strong engineering fundamentals across system design, performance, reliability, and maintainability.

Echo Global Logistics

Sr. Software Engineer

Reno, NV · On-site +1

$122K - $161K/yr

You will lead technical initiatives, establish patterns for AI/ML integration, and champion ... Expertise in infrastructure as code and GitOps practices * AWS Certifications (Solutions Architect ...

Echo Global Logistics

Sr. Software Engineer

Reno, NV

$122K - $161K/yr

You will lead technical initiatives, establish patterns for AI/ML integration, and champion ... Expertise in infrastructure as code and GitOps practices * AWS Certifications (Solutions Architect ...

New

Bespoke Labs

Machine Learning Engineer

Henderson, NV · On-site

... and building the infrastructure that makes world-scale RL training possible. This is a high ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

Bespoke Labs

Machine Learning Engineer

Sparks, NV · On-site

... and building the infrastructure that makes world-scale RL training possible. This is a high ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

Bespoke Labs

Machine Learning Engineer

Las Vegas, NV · On-site

... and building the infrastructure that makes world-scale RL training possible. This is a high ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

Bespoke Labs

Machine Learning Engineer

Carson City, NV · On-site

... and building the infrastructure that makes world-scale RL training possible. This is a high ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

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Showing results 21-40

All JobsMl Infrastructure Engineer JobsMl Infrastructure Engineer Jobs in Nevada

Ml Infrastructure Engineer information

See Nevada salary details

$47.4K

$129.4K

$185.3K

How much do ml infrastructure engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ml infrastructure engineer in Nevada is $129,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $143,600.00 per year, depending on experience, location, and employer.

What is the difference between Ml Infrastructure Engineer vs Data Engineer?

AspectML Infrastructure EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, experience with cloud platforms, scripting, and ML toolsBachelor's/Master's in CS, experience with databases, ETL, and data pipelines
Work EnvironmentFocus on deploying and maintaining ML systems, cloud infrastructure, and automationDesigning and building data pipelines, managing large datasets, and data storage
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, e-commerce, and data-driven industries

The ML Infrastructure Engineer specializes in building and maintaining the infrastructure that supports machine learning models, focusing on deployment, scalability, and automation. In contrast, Data Engineers primarily develop data pipelines and manage large datasets to enable data analysis and business intelligence. Both roles require strong technical skills and often overlap, but their core focus areas differ significantly.

What are popular job titles related to Ml Infrastructure Engineer jobs in Nevada?

For Ml Infrastructure Engineer jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Ml Infrastructure Engineer jobs in Nevada look for?

The top searched job categories for Ml Infrastructure Engineer jobs in Nevada are:

What cities in Nevada are hiring for Ml Infrastructure Engineer jobs?

Cities in Nevada with the most Ml Infrastructure Engineer job openings:

Ml Infrastructure Engineer jobs near you
Infographic showing various Ml Infrastructure Engineer job openings in Nevada as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $129,392 per year, or $62.2 per hour.

Lead Artificial Intelligence Engineer

Credit One Bank

Las Vegas, NV • On-site

$98K - $129K/yr

Other

Re-posted 22 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 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.

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