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How much do fraud detection machine learning jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for fraud detection machine learning in New Mexico is $17.49, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.65 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?

AspectFraud Detection Machine LearningFraud Analyst
CredentialsData science, machine learning certifications, programming skillsFinance, criminal justice degrees, analytical skills
Work EnvironmentData-driven, tech-focused, often in financial or e-commerce sectorsInvestigative, report-focused, in financial institutions or insurance companies
Employer & IndustryTech companies, banks, e-commerce platformsFinancial 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 New Mexico? For Fraud Detection Machine Learning jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Fraud Detection Machine Learning jobs in New Mexico look for? The top searched job categories for Fraud Detection Machine Learning jobs in New Mexico are:
What cities in New Mexico are hiring for Fraud Detection Machine Learning jobs? Cities in New Mexico with the most Fraud Detection Machine Learning job openings:
Fraud Detection Machine Learning jobs near you
Infographic showing various Fraud Detection Machine Learning job openings in New Mexico as of June 2026, with employment types broken down into 52% Full Time, 46% Part Time, 1% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $36,387 per year, or $17.5 per hour.

Advanced Packaging Quality and Reliability Engineer

Intel Corporation

Albuquerque, NM • On-site

$89.01 - $146.44/hr

Other

Medical, Retirement, PTO

Posted 8 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 157 rated electronics manufacturers

Job description

## Advanced Packaging Quality and Reliability EngineerApplylocations: US, New Mexico, Albuquerquetime type: Full timeposted on: Posted Todayjob requisition id: JR0286145# **Job Details:**## Job Description:**About Intel's Manufacturing Team**You will be part of Intel's New Mexico Manufacturing team, which drives innovation and ensures the sustainable production of high-quality products that meet customer needs. This group focuses on optimizing manufacturing processes, enhancing product reliability, and supporting Intel's broader goals of operational excellence and industry leadership.**Position Overview**As a Manufacturing Quality and Reliability Engineer in New Mexico, you will play a critical role in ensuring the quality and reliability of Intel's products and processes during manufacturing ramps to high-volume production. On a day-to-day basis, you will specify inspection and testing mechanisms, conduct quality assessments and audits, evaluate materials and techniques used in production, and drive continuous process improvement initiatives to uphold quality standards. Your contributions will directly impact Intel's manufacturing efficiency, product performance, and customer satisfaction.**Key Responsibilities*** Qualify manufacturing ramps to high-volume production while ensuring compliance with quality and reliability standards* Specify inspection mechanisms and testing protocols to maintain product and process integrity* Conduct quality assessments, audits, and risk evaluations to proactively address discrepancies* Develop systems for early detection and containment of manufacturing excursions* Collaborate with cross-functional teams to implement continuous improvement programs and foster a quality-focused culture* Drive supplier audit processes and recommend improvements for supplier performance and product reliability* Extract insights from structured and unstructured data using statistical techniques and machine learning to optimize production output* Manage manufacturing-related issues reported by customers, providing engineering solutions to enhance customer experience**To Be Successful in This Role, You Should Demonstrate the Following Professional Traits*** A proactive approach to identifying and resolving quality challenges before they escalate* Strong collaboration skills with the ability to work effectively across cross-functional teams* Clear and confident communication when representing quality functions in engineering forums and leadership discussions## ## **Qualifications:**You must possess the minimum education requirements and minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.**Minimum Qualifications*** Bachelor's degree in a specialized field such as Engineering, Science, or a related discipline with 1+ year experience or Master's degree and 0+ years' experience* Knowledge of manufacturing processes, semiconductor fabrication, and quality assessment methodologies* Familiarity with excursion management, reliability fundamentals, or problem-solving techniques* Experience analyzing data using statistical tools and machine learning to inform decision-making**Preferred Qualifications*** Master's degree in Engineering, Science, or a related field with 2 years of relevant experience, or a PhD with no years of required experience* Ability to write automation scripts to improve efficiency of data extraction and analysis* Proven ability to collaborate across cross-functional teams and represent quality functions in engineering forums* Strong communication and leadership skills, with a proactive approach to driving process optimization* Demonstrated ability to manage change control processes and drive continuous improvement programs## Job Type:College Grad## Shift:Shift 1 (United States of America)## Primary Location:US, New Mexico, Albuquerque## Additional Locations:## Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.## ## Position of TrustN/A## BenefitsWe offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.Annual Salary Range for jobs which could be performed in the US: $89,010.00-146,440.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.**Work Model for this Role**This role will require an on-site presence. \* Job posting details (such as work model, location or time type) are subject to change. #J-18808-Ljbffr

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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