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Software Engineer Fraud Detection Jobs in Indiana

Senior Computer Vision Engineer

Newburgh, IN ยท On-site

$99K - $136K/yr

The Senior Computer Vision Engineer will work closely with software engineers, as well as project ... Understand and apply best practices for object detection modeling * Understand and apply TensorFlow ...

Senior Computer Vision Engineer

Newburgh, IN ยท On-site

$99K - $136K/yr

The Senior Computer Vision Engineer will work closely with software engineers, as well as project ... Understand and apply best practices for object detection modeling * Understand and apply TensorFlow ...

Senior DevOps Engineer

Indianapolis, IN

$124K - $159K/yr

Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact ... issue detection, faster troubleshooting, and root cause analysis. * Ensure infrastructure and ...

Senior DevOps Engineer

Indianapolis, IN

$124K - $159K/yr

Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact ... issue detection, faster troubleshooting, and root cause analysis. * Ensure infrastructure and ...

Senior DevOps Engineer

Indianapolis, IN ยท On-site

$124K - $159K/yr

Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact ... issue detection, faster troubleshooting, and root cause analysis. * Ensure infrastructure and ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness ...

Data Engineer II

Indianapolis, IN ยท On-site +1

$109K - $131K/yr

Data Engineer II Job Location - Indianapolis, IN The Data Engineer is a key technical contributor ... Optimize pipeline monitoring processes to quickly detect and address failures or delays. * Enhance ...

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Software Engineer Fraud Detection information

What does a Software Engineer in Fraud Detection do?

A Software Engineer in Fraud Detection designs and develops systems to identify and prevent fraudulent activities within digital platforms, such as banking or e-commerce environments. They build algorithms to analyze user behavior, detect anomalies, and flag suspicious transactions in real time. Their work often involves machine learning, big data analysis, and close collaboration with data scientists and security teams to continuously improve fraud detection accuracy. These engineers play a key role in protecting businesses and customers from financial loss and cybercrime.

What is the difference between Software Engineer Fraud Detection vs Data Scientist Fraud Detection?

AspectSoftware Engineer Fraud DetectionData Scientist Fraud Detection
Required CredentialsBachelor's in CS or related field, programming skillsBachelor's or higher in CS, Statistics, or Data Science
Work EnvironmentDevelops fraud detection systems, writes code, implements algorithmsAnalyzes data, builds models, interprets results
Employer & Industry UsageFinancial institutions, fintech, e-commerceFinancial services, tech companies, insurance
Common Search & ComparisonFocuses on software development for fraud detectionFocuses on data analysis and modeling for fraud detection

While both roles work in fraud detection, Software Engineer Fraud Detection primarily develops and maintains detection systems through coding, whereas Data Scientist Fraud Detection analyzes data and builds models to identify fraudulent activity. Both roles often collaborate but differ in their core focus and skill sets.

What are the key skills and qualifications needed to thrive as a Software Engineer in Fraud Detection, and why are they important?

To thrive as a Software Engineer in Fraud Detection, strong programming skills (such as Python, Java, or Scala), a solid understanding of algorithms, data structures, and experience with machine learning or statistical analysis are generally required, often supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), real-time analytics systems, and fraud detection tools or frameworks is typically expected. Analytical thinking, problem-solving abilities, and effective communication are key soft skills that differentiate top performers in this field. These skills are crucial for developing robust systems that can quickly identify and prevent fraudulent activities, protecting both users and organizations.

How does a Software Engineer in Fraud Detection typically collaborate with data scientists and analysts to identify fraudulent activity?

Software Engineers in Fraud Detection work closely with data scientists and analysts to build, refine, and deploy systems that detect and prevent fraud. While data scientists may develop models and identify patterns from large datasets, engineers are responsible for integrating these models into scalable, real-time systems within the company's technology stack. Regular communication and joint problem-solving are essential, as engineers must understand the logic behind models and analysts' findings to ensure accurate implementation and continuous improvement. This collaborative environment helps create robust fraud detection mechanisms that adapt to evolving threats.
What are popular job titles related to Software Engineer Fraud Detection jobs in Indiana? For Software Engineer Fraud Detection jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Software Engineer Fraud Detection jobs in Indiana look for? The top searched job categories for Software Engineer Fraud Detection jobs in Indiana are:
What cities in Indiana are hiring for Software Engineer Fraud Detection jobs? Cities in Indiana with the most Software Engineer Fraud Detection job openings:

Senior Computer Vision Engineer

Matrix Design Group

Newburgh, IN โ€ข On-site

$99K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 hours ago


Job description

Matrix designs, manufactures, and sells innovative technological products that help keep people safe. Originally focused on the underground coal mining industry, Matrix has expanded into new industrial markets in the United States and globally.

We are currently seeking a Senior Computer Vision Engineer. The Senior Computer Vision Engineer will work closely with software engineers, as well as project and product managers, to develop robust vision-based artificial intelligence algorithms. In this role, the engineer's enthusiasm and expertise in computer vision engineering will be directed toward designing safe and effective computer vision solutions. This position is based in a collaborative, team-oriented environment at the company's main office in Newburgh, IN, and is not open to remote work arrangements. This position works in a team environment at our office in Newburgh, IN. This is not a remote position.

This position reports to the Manager of Software Systems.

Duties and Responsibilities

  • Prepare customer-facing presentations for custom model deployments
  • Implement CI/CD pipelines for models, data, and source code
  • Work with product and project managers to ensure that projects proceed on time and on budget
  • Work with other engineers to develop a working understanding of how the AI is developing
  • Document process steps to ensure reasonable human oversight
  • Work with other engineers to monitor changes in development and implement transfer learning and knowledge distillation between iterative machine learning models
  • Mentor junior engineers and interns
  • Participate in code reviews and sprint planning
  • Understand and apply best practices for object detection modeling
  • Understand and apply TensorFlow, PyTorch, and ONNX core concepts
  • Understand and apply hardware accelerator compilation and execution
  • Understand and apply Jupyter Notebooks/Google Colab concepts
  • Understand and apply source control best practices for machine learning, ETL, and data annotation pipelines

Qualifications & Competencies

Employment Eligibility & Verification

All applicants must be able to provide proof of eligibility to work in the United States. Employment is contingent upon the successful completion of the I-9 form, as required by federal law. Additionally, candidates will be required to undergo an employment verification process before beginning work. Please note that we do not offer sponsorship for work authorization (e.g., H-1B, TN, or other visas) at this time.

Education: Bachelor's degree in a related field, such as computer science, software engineering or data science, is recommended. Master's degree in Artificial Intelligence a plus.

  • 7+ years of experience in the ML space
  • An expert-level understanding of Python with a focus on ML framework such as TensorFlow or PyTorch
  • Proficient with state-of-the-art object detection algorithms such as YOLO, DETR, and DINO
  • Experience with containerization technologies such as Docker, Kubernetes, etc.
  • Experience developing software using one or more of the following languages (C/C++, C#, Python)
  • Experience with Linux and/or Windows OS
  • Experience with model, container, and package registries
  • Experience with ML tools such as DVC, MLFlow, Lake FS, Label Studio, Azure ML, Azure AI Foundry
  • Experience with SQL databases, vector embeddings, and vector databases such as Milvus, pgvector, Pinecone, Chroma, etc.
  • Experience with multimodal models such as CLIP, GPT-4V, Llama
  • Experience with classical CV algorithms such as Canny Edge Detector, SIFT, RANSAC, Optical Flow, SLAM, etc.
  • Strong understanding of source control concepts and CI/CD pipelines
  • Must have strong communication, computer, documentation, presentation, and interpersonal skills

Working Conditions

  • Daily Job duties will consist of office, lab, and desk work with occasional field testing required.
  • Candidate may be required to work underground, but on an infrequent basis.
  • While performing the duties of this job, the employee is regularly exposed to work near large moving machinery.
  • Customer operations may contain airborne particles and allergens.
  • Matrix employees are furnished and required to wear safety gear such as hard hats, steel toe shoes, reflective clothing, earplugs, and safety glasses.
  • Occasional travel and ability to work various shifts as required by customer.

Physical Requirements

The employee is occasionally required to stand, walk and stoop, or crouch. The employee may need to lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Benefits

  • First day coverage of all benefits - no waiting period
  • Premium free medical, dental and vision insurance working spouse must take single major medical at their place of employment if offered
  • On-site health clinic
  • Basic Life (2x annual base salary at no cost)
  • Optional Life and Accidental Death and Dismemberment (AD&D) insurance
  • Short-Term and Long-Term Disability insurance (no cost)
  • 401(k) Plan with up to an 8% company match
  • FSA for Health Care and Dependent Care
  • 10 Paid annual holidays plus vacation time
  • Educational Reimbursement Program
  • Scholarship Program
  • Optional Gym Membership
  • ESports Room

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