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

Hybrid in Dallas, TX, US • Posted 15 hours ago • Updated 15 hours ago

Contract Corp To Corp

Contract W2

2 Years

No Travel Required

Hybrid

Depends on Experience

Fitment

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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: 70795-10367-1786985489
Posted 15 hours ago

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