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Fraud Detection Machine Learning Jobs in Detroit, MI

... deploy machine learning models or rule-based expert systems to support decision automation (e.g., predictive maintenance, fraud detection, recommendation engines); familiarity with TensorFlow ...

... deploy machine learning models or rule-based expert systems to support decision automation (e.g., predictive maintenance, fraud detection, recommendation engines); familiarity with TensorFlow ...

... deploy machine learning models or rule-based expert systems to support decision automation (e.g., predictive maintenance, fraud detection, recommendation engines); familiarity with TensorFlow ...

Full Stack Developer

Dearborn, MI · On-site

$61 - $66/hr

... deploy machine learning models or rule-based expert systems to support decision automation (e.g., predictive maintenance, fraud detection, recommendation engines); familiarity with TensorFlow ...

... deploy machine learning models or rule-based expert systems to support decision automation (e.g., predictive maintenance, fraud detection, recommendation engines); familiarity with TensorFlow ...

Security Officer - Full Time

Warren, MI · On-site

$15 - $17.75/hr

Fraud Detection Job Duties * Communicating with Supervisors, Peers, or Subordinates * Information ... learning and development programs and tuition reimbursement • Paid holidays and vacation time ...

Security Officer - Full Time

Warren, MI · On-site

$15 - $17.75/hr

Fraud Detection Job Duties * Communicating with Supervisors, Peers, or Subordinates * Information ... Extensive safety training, new hire orientation, continuous learning and development programs and ...

Security Officer - Full Time

Warren, MI · On-site

$15 - $17.75/hr

Fraud Detection Job Duties * Communicating with Supervisors, Peers, or Subordinates * Information ... Extensive safety training, new hire orientation, continuous learning and development programs and ...

Showing results 21-40

Fraud Detection Machine Learning information

See Detroit, MI salary details

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$17

$26

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

As of Sep 3, 2026, the average hourly pay for fraud detection machine learning in Detroit, MI is $17.87, according to ZipRecruiter salary data. Most workers in this role earn between $14.76 and $19.04 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 Detroit, MI?

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

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

The top searched job categories for Fraud Detection Machine Learning jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Fraud Detection Machine Learning jobs?

Cities near Detroit, MI with the most Fraud Detection Machine Learning job openings:

Infographic showing various Fraud Detection Machine Learning job openings in Detroit, MI 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 $37,171 per year, or $17.9 per hour.

Calibration Process Data Science Intern (8 months/40 hours per week)

Bosch Group

Farmington Hills, MI • On-site

Internship

Medical, Life, Retirement, PTO

Posted 3 days ago

New


Bosch rating

7.4

Company rating: 7.4 out of 10

Based on 97 frontline employees who took The Breakroom Quiz

294th of 496 rated machine equipment manufacturers


Job description

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.
Let's grow together, enjoy more, and inspire each other. Work #LikeABosch

  • Reinvent yourself: At Bosch, you will evolve.
  • Discover new directions: At Bosch, you will find your place.
  • Balance your life: At Bosch, your job matches your lifestyle.
  • Celebrate success: At Bosch, we celebrate you.
  • Be yourself: At Bosch, we value values.
  • Shape tomorrow: At Bosch, you change lives.

Come Join us in Farmington Hills, MI and learn how we work #LikeABosch! 

If you'd like to learn more about Bosch, click here:
Bosch Mobility | Let's shape a new era of mobility. Together. | Careers at Bosch USA

Bosch | Invented for Life | Careers at Bosch USA

Job Description

The internship will be from either January - August 2027, or  May - December 2027.  

This internship takes place in Farmington Hills, Michigan, the headquarters of Bosch North America, in the Calibration Engineering group of Power Solutions.

The successful candidate will be given an 8 -month project, that has been defined in advance by their Engineering Mentor. 

As a Data Science Intern at Bosch, you will have the opportunity to work on innovative projects and gain hands-on experience in the field of data science focused on automotive applications. You will be part of a dynamic team, supporting experienced data scientists and engineers to solve real-world automotive powertrain problems using advanced analytics and machine learning techniques. Your responsibilities may include:

  • Data Exploration and Analysis: Collect, clean, and analyze large and complex datasets to identify patterns, trends, and insights. Apply statistical methods and data visualization techniques to communicate findings effectively.
  • Machine Learning Development: Develop and implement machine learning models, algorithms, and statistical techniques to solve specific business challenges. This may involve tasks such as data preprocessing, feature engineering, model training, and evaluation.
  • Predictive Modeling and Optimization: Build predictive models to forecast future outcomes and optimize business processes. Apply regression, classification, clustering, and other machine learning techniques to solve problems related to demand forecasting, anomaly detection, quality improvement, etc.
  • Data Mining and Pattern Recognition: Discover meaningful patterns, correlations, and relationships in large datasets. Use techniques like association rules, clustering, and dimensionality reduction to uncover insights and generate actionable recommendations.
  • Collaborative Problem-Solving: Work closely with cross-functional teams, including business stakeholders and software developers, to understand requirements and develop data-driven solutions. Collaborate effectively, share knowledge, and contribute to the overall success of the projects.
  • Documentation and Reporting: Document methodologies, algorithms, and results in a clear and concise manner. Prepare reports and presentations to communicate findings and recommendations to both technical and non-technical audiences.
  • Continuous Learning: Stay up-to-date with the latest advancements in data science, machine learning, and related technologies. Actively participate in training programs, workshops, and knowledge-sharing activities to enhance your skills and expertise.

If you're interested to work in a collaborative, learning culture where interns work on meaningful projects, join our team!

Qualifications
  • Must be currently enrolled in an accredited university and pursuing a Bachelors or Masters degree in Engineering, with at least one semester completed
  • Very good Python skills
  • Has experience with Artificial Intelligence and Machine Learning algorithms (work or academic)
  • 1+ year academic or industry experience with software languages and operating systems.
  • A minimum 3.0 GPA
  • Must be a minimum of 18 years of age
  • Must work 35-40 hours per week

Preferred Qualifications

  • Automotive-related hobby and/or experience working with engines or vehicles. 
  • Projects in automotive field
  • Other programming languages
Additional Information

Indefinite U.S. work authorized individuals only.  Future sponsorship for work authorization unavailable. 

Your well-being matters at Bosch! We offer a competitive compensation and a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. We're investing in your success! 

Equal Opportunity Employer, including disability / veterans 

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. 


What Bosch employees say

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About Bosch

Sourced by ZipRecruiter

Bosch is a renowned multinational company based in Farmington Hills, Michigan. Associated with the industrial technology, consumer goods, and building technology sectors, Bosch is an iconic name in the global market. In addition to its high-quality product roster, which is chiefly characterized by home appliances, power tools, automotive parts, and smart home items, it offers unparalleled services in the realms of software and business process outsourcing. Founded by Robert Bosch in Stuttgart, Germany in 1886, the company has stayed true to its core values of superior quality and innovation.

Industry

Electrical equipment, appliance, and component manufacturing

Company size

10,000+ Employees

Headquarters location

Farmington Hills, MI, US