Lorven Technologies Inc.

Machine Learning Engineer - Fraud Detection - Dallas, TX (Onsite)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer - Fraud Detection in Dallas, TX (Onsite) for a long-term contract. Key skills include Python, GCP, Databricks, and experience with data pipelines and MLOps. Requires a Bachelor's or Master's degree and 11+ years of experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 13, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Databases #Microservices #AI (Artificial Intelligence) #Databricks #Graph Databases #ML (Machine Learning) #Monitoring #Python #Data Pipeline #Neo4J #Data Warehouse #Data Engineering #Data Lake #Computer Science #GCP (Google Cloud Platform)
Role description
Our client is looking Machine Learning Engineer - Fraud Detection project Dallas, TX (Onsite) below is the detailed requirements. Job Title : Machine Learning Engineer - Fraud Detectio nLocation : Dallas, TX (Onsite )Duration : Long term Mandator • y:Machine Learning Engineering and Real-Time Inferen • cePython, APIs, and Microservic • esGCP and Databric • ksNeo4j / Graph Databases and Feature Stor • esData Pipelines and Feature Engineeri • ngMLOps, Monitoring, and Production Suppo • rtAgentic AI Architecture (good to hav e) Job Descripti • on:Bachelor's degree or Maters Degree in Computer science, or a related field, with minimum 11+ Years of relevant experien • ce.Hands-on experience in Python and ML model deployme • nt.Experience with APIs, microservices, and production ML syste • ms.Knowledge of data pipelines, data engineering, and feature stor • es.Exposure to GCP, Databricks, Data Lake, or Data Warehouse platfor • ms.Basic understanding of MLOps, monitoring, and release suppo • rt.Strong analytical and problem-solving skills, with a proven track record of identifying and resolving complex billing issu • es.Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audienc es.