GenAI Engineer
Wilmington, DE · On-site
... Machine Learning solutions specifically for banking applications. The role involves building and ... fraud detection, risk modeling, and customer analytics. • Build, fine-tune, and deploy ML models ...
GenAI Engineer
Wilmington, DE · On-site
... Machine Learning solutions specifically for banking applications. The role involves building and ... fraud detection, risk modeling, and customer analytics. • Build, fine-tune, and deploy ML models ...
Partner with product, technology, and operations to develop new capabilities for better detection ... Strong analytical thought leadership with the ability to leverage AI and machine learning to drive ...
Partner with product, technology, and operations to develop new capabilities for better detection ... Strong analytical thought leadership with the ability to leverage AI and machine learning to drive ...
Partner with product, technology, and operations to develop new capabilities for better detection ... Strong analytical thought leadership with the ability to leverage AI and machine learning to drive ...
Partner with product, technology, and operations to develop new capabilities for better detection ... Strong analytical thought leadership with the ability to leverage AI and machine learning to drive ...
Partner with product, technology, and operations to develop new capabilities for better detection ... Strong analytical thought leadership with the ability to leverage AI and machine learning to drive ...
Partner with product, technology, and operations to develop new capabilities for better detection ... Strong analytical thought leadership with the ability to leverage AI and machine learning to drive ...
Partner with product, technology, and operations to develop new capabilities for better detection ... Strong analytical thought leadership with the ability to leverage AI and machine learning to drive ...
Partner with product, technology, and operations to develop new capabilities for better detection ... Strong analytical thought leadership with the ability to leverage AI and machine learning to drive ...
Partner with product, technology, and operations to develop new capabilities for better detection ... Strong analytical thought leadership with the ability to leverage AI and machine learning to drive ...
Partner with product, technology, and operations to develop new capabilities for better detection ... Strong analytical thought leadership with the ability to leverage AI and machine learning to drive ...
Partner with product, technology, and operations to develop new capabilities for better detection ... Strong analytical thought leadership with the ability to leverage AI and machine learning to drive ...
Partner with product, technology, and operations to develop new capabilities for better detection ... Strong analytical thought leadership with the ability to leverage AI and machine learning to drive ...
Partner with product, technology, and operations to develop new capabilities for better detection ... Strong analytical thought leadership with the ability to leverage AI and machine learning to drive ...
Partner with product, technology, and operations to develop new capabilities for better detection ... Strong analytical thought leadership with the ability to leverage AI and machine learning to drive ...
Partner with product, technology, and operations to develop new capabilities for better detection ... Strong analytical thought leadership with the ability to leverage AI and machine learning to drive ...
Partner with product, technology, and operations to develop new capabilities for better detection ... Strong analytical thought leadership with the ability to leverage AI and machine learning to drive ...
GenAI Engineer
Wilmington, DE · On-site
$100K - $110K/yr
... fraud detection, risk modeling, and customer analytics. • Build, fine-tune, and deploy ML models ... Machine Learning, Deep Learning, LLMs, Prompt Engineering, Fine-tuning • Frameworks: TensorFlow ...
GenAI Engineer
Wilmington, DE · On-site
$100K - $110K/yr
... fraud detection, risk modeling, and customer analytics. • Build, fine-tune, and deploy ML models ... Machine Learning, Deep Learning, LLMs, Prompt Engineering, Fine-tuning • Frameworks: TensorFlow ...
As a Senior Quantitative Analytics Associate in our Fraud Risk team, you will help prevent plastics ... implementation of machine learning algorithms for anomaly detection, including clustering ...
As a Senior Quantitative Analytics Associate in our Fraud Risk team, you will help prevent plastics ... implementation of machine learning algorithms for anomaly detection, including clustering ...
As a Senior Quantitative Analytics Associate in our Fraud Risk team, you will help prevent plastics ... implementation of machine learning algorithms for anomaly detection, including clustering ...
As a Senior Quantitative Analytics Associate in our Fraud Risk team, you will help prevent plastics ... implementation of machine learning algorithms for anomaly detection, including clustering ...
As a Senior Quantitative Analytics Associate in our Fraud Risk team, you will help prevent plastics ... implementation of machine learning algorithms for anomaly detection, including clustering ...
As a Senior Quantitative Analytics Associate in our Fraud Risk team, you will help prevent plastics ... implementation of machine learning algorithms for anomaly detection, including clustering ...
Principal Specialist, Fraud
New Castle, DE · On-site
$16.50 - $21.75/hr
... learning new skills. Come do more than join something, change something. For students, for future ... Utilize fraud detection tools, systems, and data analysis techniques to proactively identify and ...
Principal Specialist, Fraud
New Castle, DE · On-site
$16.50 - $21.75/hr
... learning new skills. Come do more than join something, change something. For students, for future ... Utilize fraud detection tools, systems, and data analysis techniques to proactively identify and ...
Principal Specialist, Fraud
New Castle, DE · On-site
$16.50 - $21.75/hr
... learning new skills. Come do more than join something, change something. For students, for future ... Utilize fraud detection tools, systems, and data analysis techniques to proactively identify and ...
Principal Specialist, Fraud
New Castle, DE · On-site
$16.50 - $21.75/hr
... learning new skills. Come do more than join something, change something. For students, for future ... Utilize fraud detection tools, systems, and data analysis techniques to proactively identify and ...
... detection tools while providing clear/concise oral and written communication across various ... Experience with Machine Learning technologies and knowledge of LLMs. This role is not eligible for ...
... detection tools while providing clear/concise oral and written communication across various ... Experience with Machine Learning technologies and knowledge of LLMs. This role is not eligible for ...
... detection tools while providing clear/concise oral and written communication across various ... Experience with Machine Learning technologies and knowledge of LLMs. This role is not eligible for ...
... detection tools while providing clear/concise oral and written communication across various ... Experience with Machine Learning technologies and knowledge of LLMs. This role is not eligible for ...
... detection tools while providing clear/concise oral and written communication across various ... Experience with Machine Learning technologies and knowledge of LLMs. ABOUT US Chase is a leading ...
... detection tools while providing clear/concise oral and written communication across various ... Experience with Machine Learning technologies and knowledge of LLMs. ABOUT US Chase is a leading ...
... detection tools while providing clear/concise oral and written communication across various ... Experience with Machine Learning technologies and knowledge of LLMs. This role is not eligible for ...
... detection tools while providing clear/concise oral and written communication across various ... Experience with Machine Learning technologies and knowledge of LLMs. This role is not eligible for ...
... learning new skills. Come do more than join something, change something. For students, for future ... detection and prevention. * Create presentations summarizing findings and provide clear, well ...
... learning new skills. Come do more than join something, change something. For students, for future ... detection and prevention. * Create presentations summarizing findings and provide clear, well ...
Fraud Detection Machine Learning information
See Delaware salary details
$10.83 - $12.29
4% of jobs
$12.29 - $13.76
9% of jobs
$14.88 is the 25th percentile. Wages below this are outliers.
$13.76 - $15.22
15% of jobs
$15.22 - $16.69
20% of jobs
The median wage is $16.81 / hr.
$16.69 - $18.15
19% of jobs
$18.82 is the 75th percentile. Wages above this are outliers.
$18.15 - $19.62
17% of jobs
$19.62 - $21.08
7% of jobs
$21.08 - $22.55
4% of jobs
$22.55 - $24.02
2% of jobs
$24.02 - $25.48
1% of jobs
$25.48 - $26.95
1% of jobs
$10
$18
$26
How much do fraud detection machine learning jobs pay per hour?
As of Jul 22, 2026, the average hourly pay for fraud detection machine learning in Delaware is $18.07, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $19.23 per hour, depending on experience, location, and employer.
What are some common challenges faced by professionals working in Fraud Detection Machine Learning, and how can they be addressed?
Professionals in Fraud Detection Machine Learning often face challenges such as dealing with highly imbalanced datasets, rapidly evolving fraud patterns, and the need for real-time detection. Managing data imbalance requires careful selection of evaluation metrics and specialized algorithms. Staying ahead of new fraud tactics involves continuous model retraining and close collaboration with domain experts. Additionally, integrating machine learning solutions with existing systems often requires cross-functional teamwork with IT, security, and compliance teams.
What is fraud detection using machine learning?
Fraud detection using machine learning involves leveraging algorithms and data analysis techniques to identify suspicious or fraudulent activities in various domains, such as banking, e-commerce, or insurance. These systems analyze large volumes of transaction data to detect patterns or anomalies that may indicate fraud. Machine learning models can adapt over time, improving their accuracy as they are exposed to more data. This approach helps organizations automate and enhance their ability to prevent, detect, and respond to fraudulent behavior efficiently.
What is the difference between Fraud Detection Machine Learning vs Fraud Analyst?
| Aspect | Fraud Detection Machine Learning | Fraud Analyst |
|---|---|---|
| Credentials | Data science, machine learning certifications, programming skills | Finance, criminal justice degrees, analytical skills |
| Work Environment | Data-driven, tech-focused, often in financial or e-commerce sectors | Investigative, report-focused, in financial institutions or insurance companies |
| Employer & Industry | Tech companies, banks, e-commerce platforms | Financial institutions, insurance firms, retail |
Fraud Detection Machine Learning involves developing algorithms to identify fraudulent activities automatically, relying heavily on data analysis and programming. Fraud Analysts manually investigate suspicious cases and interpret data insights. While both roles aim to prevent fraud, Machine Learning specialists focus on building models, whereas Fraud Analysts focus on case investigation and decision-making.
What are the key skills and qualifications needed to thrive as a Fraud Detection Machine Learning Specialist, and why are they important?
To thrive as a Fraud Detection Machine Learning Specialist, you need strong expertise in machine learning, statistical analysis, and programming languages like Python or R, typically supported by a degree in computer science, data science, or a related field. Familiarity with tools such as TensorFlow, Scikit-learn, SQL databases, and experience with big data platforms or cloud services is highly valuable. Critical thinking, attention to detail, and effective communication are crucial soft skills for identifying complex fraud patterns and collaborating with interdisciplinary teams. These competencies are vital for developing accurate models that protect organizations from financial losses and maintain trust with customers.
What are popular job titles related to Fraud Detection Machine Learning jobs in Delaware? For Fraud Detection Machine Learning jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Fraud Detection Machine Learning jobs in Delaware look for? The top searched job categories for Fraud Detection Machine Learning jobs in Delaware are:
What cities in Delaware are hiring for Fraud Detection Machine Learning jobs? Cities in Delaware with the most Fraud Detection Machine Learning job openings:
Job description
Job Summary:
ClifyX is a company focused on innovative technology solutions, and they are seeking a GenAI Engineer to design and develop AI and Machine Learning solutions specifically for banking applications. The role involves building and deploying models, ensuring compliance, and collaborating with various teams to enhance AI capabilities.
Responsibilities:
• Design and develop AI/ML and Generative AI solutions for banking use cases including fraud detection, risk modeling, and customer analytics.
• Build, fine-tune, and deploy ML models and LLMs for credit scoring, AML, and automation
• Implement RAG-based GenAI applications using internal banking data
• Develop scalable data pipelines for training, validation, and real-time inference
• Collaborate with risk, compliance, finance, and business teams for AI solutions
• Ensure regulatory compliance and AI governance standards
• Implement data security, privacy, and access control mechanisms
• Integrate AI models into production using APIs and microservices
• Apply prompt engineering and model optimization techniques
• Monitor model performance, drift detection, and continuous improvement
• Develop explainable AI (XAI) for transparent decision-making
• Optimize cost, latency, and scalability of AI systems
• Troubleshoot AI/ML system issues across data and deployment layers
• Write efficient Python code using AI frameworks
• Follow MLOps best practices (CI/CD, automated deployment)
• Ensure responsible AI practices (bias, fairness, ethics)
• Mentor teams and contribute to enterprise AI platforms.
Qualifications:
Required:
• Design and develop AI/ML and Generative AI solutions for banking use cases including fraud detection, risk modeling, and customer analytics.
• Build, fine-tune, and deploy ML models and LLMs for credit scoring, AML, and automation
• Implement RAG-based GenAI applications using internal banking data
• Develop scalable data pipelines for training, validation, and real-time inference
• Collaborate with risk, compliance, finance, and business teams for AI solutions
• Ensure regulatory compliance and AI governance standards
• Implement data security, privacy, and access control mechanisms
• Integrate AI models into production using APIs and microservices
• Apply prompt engineering and model optimization techniques
• Monitor model performance, drift detection, and continuous improvement
• Develop explainable AI (XAI) for transparent decision-making
• Optimize cost, latency, and scalability of AI systems
• Troubleshoot AI/ML system issues across data and deployment layers
• Write efficient Python code using AI frameworks
• Follow MLOps best practices (CI/CD, automated deployment)
• Ensure responsible AI practices (bias, fairness, ethics)
• Mentor teams and contribute to enterprise AI platforms.
• Languages: Python
• AI/ML & GenAI: Machine Learning, Deep Learning, LLMs, Prompt Engineering, Fine-tuning
• Frameworks: TensorFlow, PyTorch
• GenAI Tools: LangChain, LlamaIndex
• Vector DB: Pinecone, FAISS
• Cloud Technologies: AWS / Azure / GCP
• Data Pipelines: ETL/ELT, Real-time & Batch Processing
• Integration: APIs, Microservices
• Concepts: RAG Architecture, XAI, Model Optimization
• Methodologies: Agile/Scrum, MLOps (CI/CD, Model Versioning, Deployment)
• Compliance: Banking regulations (SR 11-7, GDPR), Model Risk Management
• Soft Skills: Strong communication, stakeholder management, and analytical thinking
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
ClifyX is a company focused on innovative technology solutions, and they are seeking a GenAI Engineer to design and develop AI and Machine Learning solutions specifically for banking applications. The role involves building and deploying models, ensuring compliance, and collaborating with various teams to enhance AI capabilities.
Responsibilities:
• Design and develop AI/ML and Generative AI solutions for banking use cases including fraud detection, risk modeling, and customer analytics.
• Build, fine-tune, and deploy ML models and LLMs for credit scoring, AML, and automation
• Implement RAG-based GenAI applications using internal banking data
• Develop scalable data pipelines for training, validation, and real-time inference
• Collaborate with risk, compliance, finance, and business teams for AI solutions
• Ensure regulatory compliance and AI governance standards
• Implement data security, privacy, and access control mechanisms
• Integrate AI models into production using APIs and microservices
• Apply prompt engineering and model optimization techniques
• Monitor model performance, drift detection, and continuous improvement
• Develop explainable AI (XAI) for transparent decision-making
• Optimize cost, latency, and scalability of AI systems
• Troubleshoot AI/ML system issues across data and deployment layers
• Write efficient Python code using AI frameworks
• Follow MLOps best practices (CI/CD, automated deployment)
• Ensure responsible AI practices (bias, fairness, ethics)
• Mentor teams and contribute to enterprise AI platforms.
Qualifications:
Required:
• Design and develop AI/ML and Generative AI solutions for banking use cases including fraud detection, risk modeling, and customer analytics.
• Build, fine-tune, and deploy ML models and LLMs for credit scoring, AML, and automation
• Implement RAG-based GenAI applications using internal banking data
• Develop scalable data pipelines for training, validation, and real-time inference
• Collaborate with risk, compliance, finance, and business teams for AI solutions
• Ensure regulatory compliance and AI governance standards
• Implement data security, privacy, and access control mechanisms
• Integrate AI models into production using APIs and microservices
• Apply prompt engineering and model optimization techniques
• Monitor model performance, drift detection, and continuous improvement
• Develop explainable AI (XAI) for transparent decision-making
• Optimize cost, latency, and scalability of AI systems
• Troubleshoot AI/ML system issues across data and deployment layers
• Write efficient Python code using AI frameworks
• Follow MLOps best practices (CI/CD, automated deployment)
• Ensure responsible AI practices (bias, fairness, ethics)
• Mentor teams and contribute to enterprise AI platforms.
• Languages: Python
• AI/ML & GenAI: Machine Learning, Deep Learning, LLMs, Prompt Engineering, Fine-tuning
• Frameworks: TensorFlow, PyTorch
• GenAI Tools: LangChain, LlamaIndex
• Vector DB: Pinecone, FAISS
• Cloud Technologies: AWS / Azure / GCP
• Data Pipelines: ETL/ELT, Real-time & Batch Processing
• Integration: APIs, Microservices
• Concepts: RAG Architecture, XAI, Model Optimization
• Methodologies: Agile/Scrum, MLOps (CI/CD, Model Versioning, Deployment)
• Compliance: Banking regulations (SR 11-7, GDPR), Model Risk Management
• Soft Skills: Strong communication, stakeholder management, and analytical thinking
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
About ClifyX
Sourced by ZipRecruiter
ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.
Industry
Recruiting and staffing services
Company size
51 - 200 Employees
Headquarters location
South Plainfield, NJ, US
Year founded
1998