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Fraud Detection Machine Learning Jobs in Cullman, AL

Orchid MPS Holdings, LLC

Operations Tech, Finishing

Arab, AL · On-site

$14.25 - $18.25/hr

We focus primarily on advanced machining of complex instruments for the large joint, spine and ... Detect and report faulty equipment, defective material and any unusual conditions to the department ...

Orchid Orthopedic Solutions

Operations Tech, Finishing

Arab, AL · On-site

$14.25 - $18.25/hr

We focus primarily on advanced machining of complex instruments for the large joint, spine and ... Detect and report faulty equipment, defective material and any unusual conditions to the department ...

Orchid MPS Holdings, LLC

Operations Tech, Materials

Arab, AL · On-site

$17.75 - $23.75/hr

We focus primarily on advanced machining of complex instruments for the large joint, spine and ... WHAT YOU WILL DO * Detect and report faulty equipment, defective material and any unusual ...

All JobsFraud Detection Machine Learning JobsFraud Detection Machine Learning Jobs in Cullman, AL

Fraud Detection Machine Learning information

See Cullman, AL salary details

$9

$15

$23

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

As of Aug 13, 2026, the average hourly pay for fraud detection machine learning in Cullman, AL is $15.93, according to ZipRecruiter salary data. Most workers in this role earn between $13.12 and $16.97 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 cities near Cullman, AL are hiring for Fraud Detection Machine Learning jobs?

Cities near Cullman, AL 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 Cullman, AL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $33,127 per year, or $15.9 per hour.

Hartselle AL Facilities -Production Operator (Multiple Shifts)

Marmon

Hartselle, AL • On-site

$15 - $18/hr

Full-time

Re-posted 4 days ago

Marmon Holdings rating

7.7

Company rating: 7.7 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

Cerro Wire LLC

As a part of the global industrial organization Marmon Holdings-which is backed by Berkshire Hathaway-you'll be doing things that matter, leading at every level, and winning a better way. We're committed to making a positive impact on the world, providing you with diverse learning and working opportunities, and fostering a culture where everyone's empowered to be their best.

Responsible for operating wire extruding machines and auxiliary equipment to produce wire that meets specific tolerances and finishes. Duties include monitoring equipment, adjusting machine settings, ensuring product quality, and adhering to safety procedures.Minimum Requirements and Qualifications
  • High School Diploma or GED
  • Machine Operator experience
  • Ability to understand and apply verbal and written work and safety related instructions.
  • Must be able to work in a potentially stressful environment.
  • Strong Math skills (addition, multiplication, subtraction, division, fractions)
  • Basic Computer Skills
  • Basic troubleshooting skill is a plus
  • Material handling experience is a plus
  • Must have visual ability to detect colors.
Major Responsibility Areas and Duties
  • Setup extrusion, armoring, coiling machines in accordance with required product.
  • Select correct machine tooling.
  • Set controls to regulate temperature, speed, thickness of PVC/Nylon on wire.
  • Splice and but weld ends of wire.
  • String up machine.
  • Measures and examines extruded products to locate defects and to check for conformance to specifications, adjusting controls as necessary to alter products.
  • Checks wire for quality cosmetic and color print.
  • Moves materials by hand, using hoist, overhead crane and or forklift.
  • Observes machine operation to detect work piece defects or machine malfunction.
  • Performs prescribed preventative maintenance on machines as required.
  • Places take up spool into machines and adjust the travel of distributor to width of spool.
  • Uses precision instruments to perform quality testing.
  • Cuts wire when specified footage has been wound and wraps end of wire by hand or using mechanical tools.
  • Moves finished wire from take up by rolling reels out of machine for pickup by forklifts.
  • Maintains cleanliness of work area and observes all company and safety rules.
  • Perform preventive and minor equipment maintenance as required.
  • Update GEMBA boards as required.
  • Participate in Lean events as well as housekeeping and safety audits as needed.
  • Performs other tasks and duties as assigned.
Additional Duties
  • Additional duties as assigned, not determined at the time of hire.
Physical Requirements and Environmental Conditions
  • Employees will work in environments that may include exposure to extreme temperatures, dust, noise, humidity.
  • Personal Protective Equipment is required when performing work, safety toed shoes, hearing protection, gloves, etc.
  • Ability to lift and move up to 50 lbs.
  • Ability to stand for long periods of time.
  • Ability to walk for long distances.
  • Ability to climb ladders and work from heights.

Following receipt of a conditional offer of employment, candidates will be required to complete additional job-related screening processes as permitted or required by applicable law.

We are an equal opportunity employer, and all applicants will be considered for employment without attention to their membership in any protected class. If you require any reasonable accommodation to complete your application or any part of the recruiting process, please email your request to careers@marmon.com, and please be sure to include the title and the location of the position for which you are applying.

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