... 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 ...
... 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 ...
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 ...
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 ...
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 ...
Quick apply
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 ...
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 ...
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 ...
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 ...
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 ...
Principal Engineer Tech Lead Manager, ML Acceleration
Las Vegas, NV · On-site
$240 - $330/hr
Principal Engineer Tech Lead Manager, ML Acceleration Boston, Las Vegas, Pittsburgh, Remote U.S ... Knowledge of MLOps principles and practices. * Leadership Skills * Exceptional leadership ...
Principal Engineer Tech Lead Manager, ML Acceleration
Las Vegas, NV · On-site
$240 - $330/hr
Principal Engineer Tech Lead Manager, ML Acceleration Boston, Las Vegas, Pittsburgh, Remote U.S ... Knowledge of MLOps principles and practices. * Leadership Skills * Exceptional leadership ...
Partner with IT, Data Engineering, and Cloud teams to establish a scalable AI/ML platform and MLOps ... Lead the development, deployment, and lifecycle management of AI/ML models across multiple business ...
Partner with IT, Data Engineering, and Cloud teams to establish a scalable AI/ML platform and MLOps ... Lead the development, deployment, and lifecycle management of AI/ML models across multiple business ...
Partner with IT, Data Engineering, and Cloud teams to establish a scalable AI/ML platform and MLOps ... Lead the development, deployment, and lifecycle management of AI/ML models across multiple business ...
Quick apply
Partner with IT, Data Engineering, and Cloud teams to establish a scalable AI/ML platform and MLOps ... Lead the development, deployment, and lifecycle management of AI/ML models across multiple business ...
Partner with IT, Data Engineering, and Cloud teams to establish a scalable AI/ML platform and MLOps ... Lead the development, deployment, and lifecycle management of AI/ML models across multiple business ...
Partner with IT, Data Engineering, and Cloud teams to establish a scalable AI/ML platform and MLOps ... Lead the development, deployment, and lifecycle management of AI/ML models across multiple business ...
Partner with IT, Data Engineering, and Cloud teams to establish a scalable AI/ML platform and MLOps ... Lead the development, deployment, and lifecycle management of AI/ML models across multiple business ...
Partner with IT, Data Engineering, and Cloud teams to establish a scalable AI/ML platform and MLOps ... Lead the development, deployment, and lifecycle management of AI/ML models across multiple business ...
End-to-End MLOps and Deployment: Own the entire engineering lifecycle for central, reusable ... Technical Innovation and Risk Management: Evaluate and integrate cutting-edge computer vision ...
End-to-End MLOps and Deployment: Own the entire engineering lifecycle for central, reusable ... Technical Innovation and Risk Management: Evaluate and integrate cutting-edge computer vision ...
ERP AI Engineer - Manager
Las Vegas, NV · On-site
$99K - $232K/yr
As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships ... with MLOps tooling and CI/CD pipelines for ML - Experience with vector databases and semantic ...
ERP AI Engineer - Manager
Las Vegas, NV · On-site
$99K - $232K/yr
As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships ... with MLOps tooling and CI/CD pipelines for ML - Experience with vector databases and semantic ...
Lead Data Engineer
Las Vegas, NV · On-site
$121K - $162K/yr
Partner with Product Management and business stakeholders to deliver data solutions that meet ... and MLOps/DataOps practices. * Implement modern engineering standards, including CI/CD ...
Lead Data Engineer
Las Vegas, NV · On-site
$121K - $162K/yr
Partner with Product Management and business stakeholders to deliver data solutions that meet ... and MLOps/DataOps practices. * Implement modern engineering standards, including CI/CD ...
Staff Database Engineer
Las Vegas, NV · On-site
... lifecycle management, access control and operational security. • Establish database design ... MLOps, and Platform Engineering teams to ensure database-backed systems are designed to scale as ...
Staff Database Engineer
Las Vegas, NV · On-site
... lifecycle management, access control and operational security. • Establish database design ... MLOps, and Platform Engineering teams to ensure database-backed systems are designed to scale as ...
... with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management ... Solution Engineering * Build AI-enabled solutions, agentic platforms, and workflows across ...
... with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management ... Solution Engineering * Build AI-enabled solutions, agentic platforms, and workflows across ...
AI Engineer Consultant
Las Vegas, NV · Hybrid
... MLOps capabilities (evaluation, monitoring, governance workflows, model/prompt/version management ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...
AI Engineer Consultant
Las Vegas, NV · Hybrid
... MLOps capabilities (evaluation, monitoring, governance workflows, model/prompt/version management ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI ... Knowledge of MLOps practices for deploying and maintaining AI solutions. * Previous experience in ...
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI ... Knowledge of MLOps practices for deploying and maintaining AI solutions. * Previous experience in ...
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI ... Knowledge of MLOps practices for deploying and maintaining AI solutions. * Previous experience in ...
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI ... Knowledge of MLOps practices for deploying and maintaining AI solutions. * Previous experience in ...
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI ... Knowledge of MLOps practices for deploying and maintaining AI solutions. * Previous experience in ...
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI ... Knowledge of MLOps practices for deploying and maintaining AI solutions. * Previous experience in ...
Solution Engineering * Build AI-enabled solutions, agentic platforms, and workflows across ... with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
Solution Engineering * Build AI-enabled solutions, agentic platforms, and workflows across ... with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
Manager Mlops Engineer information
What is the difference between Manager Mlops Engineer vs Data Scientist?
| Aspect | Manager Mlops Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, Engineering, or related; experience with MLOps tools | Degree in Data Science, Statistics, or related; proficiency in programming and analytics |
| Work Environment | Collaborates with engineering and operations teams to deploy ML models | Analyzes data, builds models, and interprets results for business insights |
| Industry Usage | Used in tech, finance, healthcare for deploying ML solutions | Common across tech, marketing, research for data analysis and modeling |
The Manager Mlops Engineer focuses on deploying and maintaining machine learning models in production environments, overseeing MLOps pipelines. In contrast, Data Scientists primarily analyze data and develop models for insights. Both roles require technical skills but differ in their focus on deployment versus analysis.
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What are popular job titles related to Manager Mlops Engineer jobs in Nevada? For Manager Mlops Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Manager Mlops Engineer jobs in Nevada look for? The top searched job categories for Manager Mlops Engineer jobs in Nevada are:
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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