Responsibilities : • Lead development and deployment of AI/ML and Generative AI solutions for ... testing, and audit readiness. • Collaborate with product and business leaders to translate ...
Responsibilities : • Lead development and deployment of AI/ML and Generative AI solutions for ... testing, and audit readiness. • Collaborate with product and business leaders to translate ...
Prompt Engineer II
Las Vegas, NV · On-site
$115K/yr
What We're Looking For * 3-5 years of hands-on experience in AI, generative AI, prompt engineering, AI solution development, or a related role. * Demonstrated experience creating, testing, and ...
Prompt Engineer II
Las Vegas, NV · On-site
$115K/yr
What We're Looking For * 3-5 years of hands-on experience in AI, generative AI, prompt engineering, AI solution development, or a related role. * Demonstrated experience creating, testing, and ...
Prompt Engineer II
Las Vegas, NV · On-site +1
$115K/yr
What We're Looking For * 3-5 years of hands-on experience in AI, generative AI, prompt engineering, AI solution development, or a related role. * Demonstrated experience creating, testing, and ...
Prompt Engineer II
Las Vegas, NV · On-site +1
$115K/yr
What We're Looking For * 3-5 years of hands-on experience in AI, generative AI, prompt engineering, AI solution development, or a related role. * Demonstrated experience creating, testing, and ...
Experience with generative AI safety and evaluation practices, including prompt injection testing, jailbreak resilience, hallucination measurement, toxicity scoring, harm scoring, and grounding ...
Experience with generative AI safety and evaluation practices, including prompt injection testing, jailbreak resilience, hallucination measurement, toxicity scoring, harm scoring, and grounding ...
Develops evaluation plans, overseeing user acceptance testing, compiling evidence packs for ... Proven experience in Generative AI solution development and virtual agent orchestration, including ...
Develops evaluation plans, overseeing user acceptance testing, compiling evidence packs for ... Proven experience in Generative AI solution development and virtual agent orchestration, including ...
Lead development and deployment of AI/ML and Generative AI solutions for fraud detection, credit ... Oversee model validation, explainability, bias testing, and audit readiness. * Collaborate with ...
Quick apply
Lead development and deployment of AI/ML and Generative AI solutions for fraud detection, credit ... Oversee model validation, explainability, bias testing, and audit readiness. * Collaborate with ...
Lead development and deployment of AI/ML and Generative AI solutions for fraud detection, credit ... Oversee model validation, explainability, bias testing, and audit readiness. * Collaborate with ...
Lead development and deployment of AI/ML and Generative AI solutions for fraud detection, credit ... Oversee model validation, explainability, bias testing, and audit readiness. * Collaborate with ...
Lead development and deployment of AI/ML and Generative AI solutions for fraud detection, credit ... Oversee model validation, explainability, bias testing, and audit readiness. * Collaborate with ...
Lead development and deployment of AI/ML and Generative AI solutions for fraud detection, credit ... Oversee model validation, explainability, bias testing, and audit readiness. * Collaborate with ...
Lead development and deployment of AI/ML and Generative AI solutions for fraud detection, credit ... Oversee model validation, explainability, bias testing, and audit readiness. * Collaborate with ...
Lead development and deployment of AI/ML and Generative AI solutions for fraud detection, credit ... Oversee model validation, explainability, bias testing, and audit readiness. * Collaborate with ...
Vehicle Test Driver (Temporary)
Las Vegas, NV · On-site
$15.50 - $19.25/hr
Temporary - Full time Join a fast-paced vehicle testing team supporting innovative automotive ... At the core of our innovation is Fuel iX™, an enterprise-grade generative AI platform that helps ...
Vehicle Test Driver (Temporary)
Las Vegas, NV · On-site
$15.50 - $19.25/hr
Temporary - Full time Join a fast-paced vehicle testing team supporting innovative automotive ... At the core of our innovation is Fuel iX™, an enterprise-grade generative AI platform that helps ...
... Generative AI, transformative technologies, and creative design. We can enhance customer ... testing, training, defining support procedures, and implementing practical business solutions
... Generative AI, transformative technologies, and creative design. We can enhance customer ... testing, training, defining support procedures, and implementing practical business solutions
Perform all aspects of testing and maintenance of electrical power distribution systems ... From a simple swipe to life-changing medicines, from push notifications to generative AI. We design ...
Perform all aspects of testing and maintenance of electrical power distribution systems ... From a simple swipe to life-changing medicines, from push notifications to generative AI. We design ...
Perform all aspects of testing and maintenance of electrical power distribution systems ... From a simple swipe to life-changing medicines, from push notifications to generative AI. We design ...
Perform all aspects of testing and maintenance of electrical power distribution systems ... From a simple swipe to life-changing medicines, from push notifications to generative AI. We design ...
Perform all aspects of testing and maintenance of electrical power distribution systems ... From a simple swipe to life-changing medicines, from push notifications to generative AI. We design ...
Perform all aspects of testing and maintenance of electrical power distribution systems ... From a simple swipe to life-changing medicines, from push notifications to generative AI. We design ...
Perform all aspects of testing and maintenance of electrical power distribution systems ... From a simple swipe to life-changing medicines, from push notifications to generative AI. We design ...
Perform all aspects of testing and maintenance of electrical power distribution systems ... From a simple swipe to life-changing medicines, from push notifications to generative AI. We design ...
... Generative AI, transformative technologies, and creative design. We can enhance customer ... testing processes, including participation in sprint demos. Collaboration will be key, as you will ...
... Generative AI, transformative technologies, and creative design. We can enhance customer ... testing processes, including participation in sprint demos. Collaboration will be key, as you will ...
Experience designing, developing, deploying, implementing, or supporting AI, Generative AI, or ... testing frameworks such as JUnit, Mockito, or equivalent, and with automated testing and CI/CD ...
Experience designing, developing, deploying, implementing, or supporting AI, Generative AI, or ... testing frameworks such as JUnit, Mockito, or equivalent, and with automated testing and CI/CD ...
AI and Data Science Engineer III
Las Vegas, NV · On-site +1
$109K - $131K/yr
... and generative artificial intelligence solutions. * Partner with the Lead AI Solutions Architect ... Implement privacy, access, quality, lineage, monitoring, observability, testing, deployment, and ...
AI and Data Science Engineer III
Las Vegas, NV · On-site +1
$109K - $131K/yr
... and generative artificial intelligence solutions. * Partner with the Lead AI Solutions Architect ... Implement privacy, access, quality, lineage, monitoring, observability, testing, deployment, and ...
Lead Data Engineer
Las Vegas, NV · On-site
$121K - $162K/yr
Support AI, machine learning, Generative AI, and RAG solutions through scalable data engineering ... Implement modern engineering standards, including CI/CD, Infrastructure as Code (IaC), testing ...
Lead Data Engineer
Las Vegas, NV · On-site
$121K - $162K/yr
Support AI, machine learning, Generative AI, and RAG solutions through scalable data engineering ... Implement modern engineering standards, including CI/CD, Infrastructure as Code (IaC), testing ...
... testing, and other assurance activities to validate controls. • Collaborate with adjacent ... AI/ML and Generative AI security risks and the technical and procedural controls used to manage ...
... testing, and other assurance activities to validate controls. • Collaborate with adjacent ... AI/ML and Generative AI security risks and the technical and procedural controls used to manage ...
Generative Ai Testing information
What is the difference between Generative Ai Testing vs Data Scientist?
| Aspect | Generative Ai Testing | Data Scientist |
|---|---|---|
| Required Credentials | Knowledge of AI models, testing tools, programming skills | Statistics, programming, data analysis certifications |
| Work Environment | AI development teams, testing labs, tech companies | Research labs, tech firms, finance, healthcare |
| Employer & Industry Usage | AI product testing, quality assurance in tech | Data analysis, predictive modeling across industries |
Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.
How much do AI testers get paid?
AI testers, involved in evaluating and validating generative AI models, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in machine learning and data analysis can earn higher wages.
Is AI testing a good career?
AI testing, including roles like Generative AI Testing, is a growing field with increasing demand for skills in machine learning, data analysis, and programming. It offers opportunities in tech companies, research labs, and startups, often requiring knowledge of AI frameworks and testing tools. The career can be stable and rewarding for those with technical expertise and an interest in AI development and quality assurance.
What are the key skills and qualifications needed to thrive as a Generative AI Testing Specialist, and why are they important?
To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.
What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?
Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.
What is a $900,000 AI job?
A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or executive positions, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leading AI development projects, strategic planning, and overseeing AI teams in large organizations or tech companies.
How do I become an AI tester?
To become an AI tester, you should have a strong understanding of machine learning concepts, programming skills in languages like Python, and experience with data annotation and model evaluation. Familiarity with AI development tools and testing frameworks, along with attention to detail, is essential for identifying issues in AI systems.
What is Generative AI Testing?
Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.
What are popular job titles related to Generative Ai Testing jobs in Nevada? For Generative Ai Testing jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Generative Ai Testing jobs in Nevada look for? The top searched job categories for Generative Ai Testing jobs in Nevada are:
Job description
Job Summary:
Credit One Bank is a data-driven financial services company based in Las Vegas. The Assistant Vice President of Artificial Intelligence is responsible for leading the delivery and execution of AI and machine learning capabilities within a regulated banking environment, focusing on fraud prevention, credit risk management, and customer experience personalization.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
• 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.
Company:
Credit One Bank is a financial services company that offers credit cards, credit score tracking, and fraud protection services. Founded in 1984, the company is headquartered in Las Vegas, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Credit One Bank is a data-driven financial services company based in Las Vegas. The Assistant Vice President of Artificial Intelligence is responsible for leading the delivery and execution of AI and machine learning capabilities within a regulated banking environment, focusing on fraud prevention, credit risk management, and customer experience personalization.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
• 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.
Company:
Credit One Bank is a financial services company that offers credit cards, credit score tracking, and fraud protection services. Founded in 1984, the company is headquartered in Las Vegas, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
About Credit One Bank
Sourced by ZipRecruiter
Industry
Finance and insurance
Company size
501 - 1,000 Employees
Headquarters location
Las Vegas, NV, US
Year founded
1984