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# AI Developer (Python) - New York - In Office

- **Company:** DRAGIN-KW, LLC
- **Location:** Mundelein, IL, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, Content Analysis, Data Cleansing, Data Mining, Python (Programming Language), Machine Learning, Microsoft Office, Natural Language Processing, Pattern Recognition, Tensorflow, Software Engineering, Unstructured Data, Feature Engineering, Pytorch, Model Validation, Scikit Learn, Information Technology, Machine Learning Operations
- **Published:** November 5, 2026
- **Apply:** https://www.thejobnetwork.com/job/a5705bae-bbb2-43ea-9bfb-11092984c769/ai-developer-python-new-york-in-office

## About the Role

* Strong foundation in Computer Science and Software Development, with proficiency in Python and experience building production-grade applications.
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 * Hands-on experience with Neural Networks and Pattern Recognition, including designing, training, and tuning models for real-world use cases.
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 * Practical knowledge of Natural Language Processing (NLP), particularly for document analysis, data extraction, and workflow automation.
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 * Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) and familiarity with MLOps practices.
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 * Ability to work with structured and unstructured data, including data preprocessing, feature engineering, and model evaluation.
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 * Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
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 * Strong analytical and problem-solving skills, with the ability to collaborate effectively in an in-office, cross-functional environment.
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 * Experience in fintech, alternative finance, or enterprise SaaS platforms is beneficial.
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## Description

Role Description The AI Developer (Python) will design, develop, and maintain AI-driven solutions that automate and optimize the deal workflow within Dragin's platform. Responsibilities include building and training machine learning models, implementing pattern recognition and NLP algorithms, integrating neural network-based components, and collaborating with product and underwriting teams to translate business requirements into technical solutions. The role involves writing clean, efficient Python code, performing data preprocessing and feature engineering, conducting model evaluation and optimization, and supporting deployment and monitoring in production environments. This is a full-time, on-site role based in the New York City Metropolitan Area, requiring regular in-office collaboration with cross-functional partners.