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Fraud Detection Machine Learning Jobs in Kissimmee, FL

Must be able to hear to detect sounds indicating potential issues, such as machinery noises or ... Opportunities for professional development, career growth, and role-based learning plans

Must be able to hear to detect sounds indicating potential issues, such as machinery noises or ... Opportunities for professional development, career growth, and role-based learning plans

BHT - NIGHT

Winter Springs, FL

$14 - $17/hr

Exercise due diligence to prevent, detect, and report unlawful and/or unethical conduct by fellow ... Learning -Challenges old paradigms with critical thinking, curiosity and creativity

Must be able to hear to detect sounds indicating potential issues, such as machinery noises or ... Opportunities for professional development, career growth, and role-based learning plans

Maintenance Manager

Apopka, FL · On-site

$32 - $34/hr

Must be able to hear to detect sounds indicating potential issues, such as machinery noises or ... Opportunities for professional development, career growth, and role-based learning plans

Must be able to hear to detect sounds indicating potential issues, such as machinery noises or ... Opportunities for professional development, career growth, and role-based learning plans

Showing results 41-54

Fraud Detection Machine Learning information

See Kissimmee, FL salary details

$9

$15

$23

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

As of Sep 6, 2026, the average hourly pay for fraud detection machine learning in Kissimmee, FL is $15.95, according to ZipRecruiter salary data. Most workers in this role earn between $13.17 and $16.97 per hour, depending on experience, location, and employer.

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 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 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 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 popular job titles related to Fraud Detection Machine Learning jobs in Kissimmee, FL?

For Fraud Detection Machine Learning jobs in Kissimmee, FL, the most frequently searched job titles are:

What job categories do people searching Fraud Detection Machine Learning jobs in Kissimmee, FL look for?

The top searched job categories for Fraud Detection Machine Learning jobs in Kissimmee, FL are:

What cities near Kissimmee, FL are hiring for Fraud Detection Machine Learning jobs?

Cities near Kissimmee, FL with the most Fraud Detection Machine Learning job openings:

Infographic showing various Fraud Detection Machine Learning job openings in Kissimmee, FL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $33,178 per year, or $16 per hour.

Production Operator II - Nights - Filling

Coca-Cola

Auburndale, FL • On-site

$14.25 - $17.25/hr

Full-time

Re-posted 26 days ago


Key responsibilities

  • Operate the Elopak ESL filling machine to form, sanitize, fill, and seal gable top cartons according to company requirements and industry specifications.

  • Perform quality checks to ensure the integrity of the container and detect any machine malfunctions or product defects.

  • Maintain equipment and area cleanliness, perform CIP duties including chemical testing and documentation, and record all production data.


Coca-Cola rating

7.5

Company rating: 7.5 out of 10

Based on 443 frontline employees who took The Breakroom Quiz

153rd of 444 rated food and drinks producers


Job description

Job Description Summary:

The Elopak filler is an extended shelf-life filler (ESL) designed to produce products in a gable top carton. The operator is responsible for operating the gable top ESL filling machine and various pieces of downstream equipment to efficiently produce a quality package and deliver it to the warehouse team. The Elopak filler forms, sanitizes, fills, and seals the container all in one machine. This position requires the operator to have a thorough understanding of ESL processes, carton integrity, and testing methodologies. The quality checks that ensure the integrity of the container are critical to this position.

What You'll Do for Us

  • Safely operate the Elopak ESL filling machines to form, sanitize, fill, and seal gable top cartons (GTC) according to company requirements and industry specifications.

  • Understand ESL processes, carton integrity, and testing methodologies. Quality checks that ensure the integrity of the CTC container are critical to this position.

  • Ensure accurate labeling and packaging of the products, as well as correctly recording all production data.

  • Frequent lifting of 41-lb boxes of cartons (flats) while loading the machine. Lifting of 25-lb boxes of fitments (caps) while filling the cap hoppers.

  • Strong attention to detail and a thorough understanding of Elopak filling processes and procedures

  • Quickly detect and resolve any machine malfunctions or product defects

  • Follow instructions and work both as an individual and part of a team

  • Reliable and be able to work in a fast-paced environment complying with all safety policies and procedures

  • Maintain equipment and area cleanliness including C.I.P/S.I.P. to ensure compliance with all GMP standards.

  • Maintain proper safety conditions of equipment including immediately reporting safety issues to your supervisor.

  • Perform all CIP duties including chemical testing and documentation as assigned
  • Perform all essential job functions and work instructions following company standards identified for this position.

Qualifications& Requirements

  • High school diploma GED or equivalent work experience

  • Mechanical aptitude, basic understanding of production environments and a working knowledge of industrial machinery/equipment.

  • Ability to read, write, speak and understand instructions given in English. Must be able to understand and follow both written and verbal directions. Must have the ability to read equipment OEM manuals and operator instructions with comprehension.

  • Ability to perform basic math skills - addition, subtraction, multiplication, division. Work with different units of measure, decimal places and fractions.

  • Ability to work 12-hour shifts or other work schedules as needed with proper notification including overtime assignments. Overtime can be both voluntary and mandatory to meet business needs.

  • Visually recognize defective materials and products not meeting quality specifications.

  • Trouble-shoot production-related problems. The ability to hear machine sounds and safety warning signals to detect changes in speed, machine jams and other abnormal running conditions.

  • Lift 50 pounds with frequent lifting of30 lbs.

  • Participate in job development training and cross-train on all equipment.

  • Must be a team player, assist co-workers and participate in Process Improvement activities.

The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.

Skills:

Pay Range:

United States of America: 50,357 USD - 61,547 USD

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Annual Incentive Reference Value Percentage:

0

Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.

Location(s):

United States of America

City/Cities:

Auburndale

Travel Required:

00% - 25%

Relocation Provided:

No

Job Posting End Date:

August 31, 2026

Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Visionto learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

What Coca-Cola employees say

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Benefits

Hours and flexibility

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Coca-Cola logo

About Coca-Cola

Sourced by ZipRecruiter

On May 8, 1886, Dr. John Pemberton brought his perfected syrup to Jacobs' Pharmacy in downtown Atlanta where the first glass of Coca‑Cola was poured. From that one iconic drink, we’ve evolved into a total beverage company. More than 2.2 billion servings of our drinks are enjoyed in more than 200 countries and territories each day. We are constantly transforming our portfolio, from reducing added sugar in our drinks to bringing innovative new products to market. We seek to positively impact people’s lives, communities and the planet through water replenishment, packaging recycling, sustainable sourcing practices and carbon emissions reductions across our value chain. Together with our bottling partners, we employ more than 700,000 people, helping bring economic opportunity to local communities worldwide. We are committed to offering people more of the drinks they want across a range of categories and sizes while driving sustainable solutions that build resilience into our business and create positive change for the planet.

Industry

Food services and drinking places and food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US