Experis

Python Developer (Addison)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer in Addison, TX, offering a hybrid work model. Contract length is unspecified, with a pay rate of "unknown." Requires 5+ years in Python, Machine Learning, and enterprise document management applications.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 24, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Addison, TX
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🧠 - Skills detailed
#Deep Learning #Monitoring #Deployment #UML (Unified Modeling Language) #Agile #Python #ML (Machine Learning) #Documentation #DevOps #Logging
Role description
Addison TX- Work Model- Hybrid (3 days Onsite) Position Summary Were looking for a Python Developer who can be responsible for building and maintaining document capture applications. The ideal candidate will have a solid background in software engineering with experience in building Machine Learning Models and DevOps processes. Required Qualifications • 5+ years of experience as developer in Python technologies including Machine Learning • Experience in building and deploying enterprise applications for document management process that includes OCR, Deep Learning, etc. • Solid experience in Logging, Caching, Transaction Management, Multi-Threading/Concurrency, Performance Tuning, and Monitoring aspects of the applications. • Solid design documentation skills using UML • Understanding and usage of DevOps processes for the build and deployment. • Excellent analysis and troubleshooting skills Desired Qualifications • Agile Project Process Knowledge. • A positive attitude, excellent written, and verbal communication skills. • Ability to develop, review and comment on written technical documentation. • Process oriented and detailed oriented. • Ability to work in a team in a fast-paced project environment. • Willingness to be accountable for meeting all deliverable dates for task assignments. • Knowledge of banking industry processes.