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Machine Learning Engineer - Fraud Detection - Dallas, TX (Hybrid) - Contract - Lorven Technologies Inc.

Lorven Technologies, Inc.

Hybrid in Dallas, Texas • Today

Easy Apply

Full-time, Third Party

Depends on Experience

Machine Learning Engineer - Fraud Detection

Compugra Systems

Dallas, Texas • Yesterday

Easy Apply

Third Party, Contract

Depends on Experience

Machine Learning Engineer Fraud Detection

Compugra Systems

Dallas, Texas • Yesterday

Easy Apply

Third Party, Contract

Depends on Experience

Lead MLOps Engineer - Fraud Detection Platform

Compugra Systems

Dallas, Texas • Yesterday

Easy Apply

Third Party, Contract

Depends on Experience

Lead MLOps Engineer - Fraud Detection Platform

SmallArc, Inc

Dallas, Texas • 2d ago

Easy Apply

Full-time, Third Party

100,000

Senior Data Scientist (Fraud Detection and Investigative Analytics)

Node.Digital

Remote or Washington, District of Columbia • Today

Full-time

Data Scientist - AI/ML & Advanced Analytics (Fraud Analytics & Investigative Support)

Praescient Analytics

Remote or Fairfax, Virginia • Today

Full-time

Machine Learning Engineer

Quarterhill

Frisco, Texas • Today

Full-time

Senior AI/ML Data Engineer

Public Storage, Inc.

Frisco, Texas • Today

Full-time

Detection Engineer II

Instacart

Remote • Today

Full-time

USD 171,000.00 - 180,500.00 per year

Data Engineer (Fraud Analytics & Investigative Support)

Praescient Analytics

Remote or Fairfax, Virginia • Today

Full-time

API Developer/Data Engineer Managing Consultant-Fraud/AI

Navigant Consulting

Remote or McLean, Virginia • Today

Full-time

USD 130,000.00 - 216,000.00 per year

Senior Software Engineer, Fraud

Twilio

Remote • Today

Full-time

USD 138,700.00 - 173,400.00 per year

Machine Learning Engineer

Sift Science, Inc

Remote or San Francisco, California • Today

Full-time

USD 140,000.00 - 190,000.00 per year

Principal Machine Learning Systems Engineer

Atlassian Inc.

Remote • Today

Full-time

USD 236,700.00 - 309,025.00 per year

Senior Machine Learning System Engineer

Atlassian Inc.

Remote or Seattle, Washington • Today

Full-time

USD 180,000.00 - 235,000.00 per year

Principal Machine Learning Engineer

Atlassian Inc.

Remote or Mountain View, California • Today

Full-time

USD 209,700.00 - 273,775.00 per year

Principal Machine Learning System Engineer

Atlassian Inc.

Remote or Seattle, Washington • Today

Full-time

USD 209,700.00 - 273,775.00 per year

Staff Machine Learning Engineer

PrizePicks

Remote or Atlanta, Georgia • Today

Full-time

USD 220,000.00 - 280,000.00 per year

Artificial Intelligence/Machine Learning (AI/ML) Engineer

ANALYTICA

Remote or Bethesda, Maryland • Today

Full-time

Software Engineer, AI/ML Infrastructure (US-Based)

Thumbtack

Remote • Today

Full-time

USD 145,400.00 - 188,100.00 per year

Senior Machine Learning Engineer Manager

Atlassian Inc.

Remote or Seattle, Washington • Today

Full-time

USD 236,700.00 - 309,025.00 per year

Senior Principal Software Engineer, Machine Learning

Toast

Remote • Today

Full-time

USD 283,000.00 - 453,000.00 per year

Senior Principal Machine Learning Engineer

Cotiviti

Remote • Today

Full-time

USD 250,000.00 - 280,000.00 per year

Machine Learning Engineer

Twilio

Remote • Today

Full-time

USD 155,520.00 - 194,400.00 per year

Data & ML Engineer

Red Cell Partners

Remote • Today

Full-time

USD 150,000.00 - 200,000.00 per year

Machine Learning Engineer

DPP Tech, Inc.

Remote • 20d ago

Easy Apply

Contract

Depends on Experience

Machine Learning Engineer

Dice Talent & Staffing Solutions

Remote • Yesterday

Easy Apply

Full-time

150000 - 300000

Machine Learning Engineer

Kforce Technology Staffing

Remote or Armonk, New York • Yesterday

Contract

$50 - $60 hourly

Machine Learning Engineer

Accelint

Remote • Today

Full-time

Job Details

Skills

Machine Learning Engineer - Fraud Detection

Summary

Position: Machine Learning Engineer - Fraud Detection
Location: Dallas, TX (Hybrid)
Duration: Long Term Contract

Description:

Bachelor's degree or Master’s Degree in Computer science, or a related field, with minimum 12+ Years of relevant experience.

Role Summary

We are looking for a Machine Learning Engineer to build and support production-grade fraud detection solutions.
The role focuses on real-time inference, feature engineering, APIs, graph-based fraud detection, and production deployment support.

Key Skills

Good Experience in Machine Learning Engineering and Real-Time Inference
Strong in Python, APIs, and Microservices
Good Experience in Google Cloud Platform and Databricks
Strong in Neo4j / Graph Databases and Feature Stores
Data Pipelines and Feature Engineering
MLOps, Monitoring, and Production Support
Agentic AI Architecture (good to have)

Responsibilities

Build and deploy fraud detection services for production use.
Develop low-latency inference solutions with a target of less than 250 ms.
Design feature engineering pipelines for ML use cases.
Integrate ML models with REST APIs and microservices.
Support graph-based fraud detection using Neo4j.
Improve scoring performance, reliability, and scalability.
Work with MLOps teams for releases, monitoring, and production support.
Support data quality, governance, and operational activities.

Required Qualifications

Hands-on experience in Python and ML model deployment.
Experience with APIs, microservices, and production ML systems.
Knowledge of data pipelines, data engineering, and feature stores.
Exposure to Google Cloud Platform, Databricks, Data Lake, or Data Warehouse platforms.
Basic understanding of MLOps, monitoring, and release support.
Good communication and problem-solving skills.

Nice to Have

Fraud detection, risk analytics, or scoring model experience.
Experience with Neo4j or graph-based ML solutions.
Understanding of Agentic AI architecture.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10120137
Position Id: 70795-10367-1786631739
Posted 23 hours ago

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Dallas, Texas

•

Yesterday

Hiring: Machine Learning Engineer Fraud Detection Location: Dallas, TX 100% Onsite Contract: 1 Year Experience: 8 12 Years We are looking for a strong Machine Learning Engineer with experience building and supporting production-grade fraud detection solutions. Key Skills Python & Machine Learning Real-Time / Low-Latency Inference REST APIs & Microservices Google Cloud Platform & Databricks Neo4j / Graph Databases Feature Stores & Feature Engineering Data Pipelines & Data Engineering MLOps,

Easy Apply

Third Party, Contract

Depends on Experience

Machine Learning Engineer - Fraud Detection

Dallas, Texas

•

Yesterday

Role: Machine Learning Engineer - Fraud Detection Location: Dallas, TX (100% Onsite) Experience: 7-12 Years Role Summary We are looking for a Machine Learning Engineer to build and support production-grade fraud detection solutions. The role focuses on real-time inference, feature engineering, APIs, graph-based fraud detection, and production deployment support. Key Skills Machine Learning Engineering and Real-Time InferencePython, APIs, and MicroservicesGoogle Cloud Platform and DatabricksNeo4j

Easy Apply

Third Party, Contract

Depends on Experience

Lead MLOps Engineer - Fraud Detection Platform

Dallas, Texas

•

Yesterday

Role: Lead MLOps Engineer - Fraud Detection Platform Location: Dallas, TX (100% Onsite) 6-12 months Experience: 8-12 Years Job Summary: We are seeking a Lead MLOps Engineer to build and manage enterprise-scale fraud detection platforms. The candidate will be responsible for designing scalable ML deployment frameworks, automating model release processes, and ensuring production reliability, monitoring, and governance across fraud detection systems. Required Skills Primary Skills MLOpsCI/CDModel D

Easy Apply

Third Party, Contract

Depends on Experience

Lead MLOps Engineer - Fraud Detection Platform

Dallas, Texas

•

2d ago

Role: Lead MLOps Engineer - Fraud Detection Platform Location: Dallas, TX (100% Onsite) Experience:8-12 Years Job Summary:We are seeking a Lead MLOps Engineer to build and manage enterprise-scale fraud detection platforms. The candidate will be responsible for designing scalable ML deployment frameworks, automating model release processes, and ensuring production reliability, monitoring, and governance across fraud detection systems. Required Skills Primary Skills MLOpsCI/CDModel DeploymentGo

Easy Apply

Full-time, Third Party

100,000

Job Details

Skills

Machine Learning Engineer - Fraud Detection

Summary

Position: Machine Learning Engineer - Fraud Detection
Location: Dallas, TX (Hybrid)
Duration: Long Term Contract

Description:

Bachelor's degree or Master’s Degree in Computer science, or a related field, with minimum 12+ Years of relevant experience.

Role Summary

We are looking for a Machine Learning Engineer to build and support production-grade fraud detection solutions.
The role focuses on real-time inference, feature engineering, APIs, graph-based fraud detection, and production deployment support.

Key Skills

Good Experience in Machine Learning Engineering and Real-Time Inference
Strong in Python, APIs, and Microservices
Good Experience in Google Cloud Platform and Databricks
Strong in Neo4j / Graph Databases and Feature Stores
Data Pipelines and Feature Engineering
MLOps, Monitoring, and Production Support
Agentic AI Architecture (good to have)

Responsibilities

Build and deploy fraud detection services for production use.
Develop low-latency inference solutions with a target of less than 250 ms.
Design feature engineering pipelines for ML use cases.
Integrate ML models with REST APIs and microservices.
Support graph-based fraud detection using Neo4j.
Improve scoring performance, reliability, and scalability.
Work with MLOps teams for releases, monitoring, and production support.
Support data quality, governance, and operational activities.

Required Qualifications

Hands-on experience in Python and ML model deployment.
Experience with APIs, microservices, and production ML systems.
Knowledge of data pipelines, data engineering, and feature stores.
Exposure to Google Cloud Platform, Databricks, Data Lake, or Data Warehouse platforms.
Basic understanding of MLOps, monitoring, and release support.
Good communication and problem-solving skills.

Nice to Have

Fraud detection, risk analytics, or scoring model experience.
Experience with Neo4j or graph-based ML solutions.
Understanding of Agentic AI architecture.

Dice Id: 10120137
Position Id: 70795-10367-1786631739
Posted 23 hours ago

Fitment

Dice Job Match Score™

📊 Calculating match score...

Create job alert

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Dallas, Texas

•

Yesterday

Easy Apply

Third Party, Contract

Depends on Experience

Machine Learning Engineer - Fraud Detection

Dallas, Texas

•

Yesterday

Easy Apply

Third Party, Contract

Depends on Experience

Lead MLOps Engineer - Fraud Detection Platform

Dallas, Texas

•

Yesterday

Easy Apply

Third Party, Contract

Depends on Experience

Lead MLOps Engineer - Fraud Detection Platform

Dallas, Texas

•

2d ago

Easy Apply

Full-time, Third Party

100,000

Machine Learning Engineer - Fraud Detection - Dallas, TX (Hybrid) - Contract - Lorven Technologies Inc.

Skills

Summary

Dice Job Match Score™

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Machine Learning Engineer - Fraud Detection - Dallas, TX (Hybrid) - Contract - Lorven Technologies Inc.

Job Details

Skills

Summary

Dice Job Match Score™

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