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Field
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‑vision, NLP, planning, etc.) using frameworks such as TensorFlow, PyTorch, Torch, or Caffe. Build and maintain robust data pipelines, ETL processes, and backend services in Python, C/C++, and Java. Lead
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). Good scripting and programming skills (e.g. familiarity with SQL, Python, Java). Strong foundation in statistical, mathematical, predictive modeling as well as business strategy skills to build
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workflows. Experience with C++ and/or Java for performance-critical components is a plus. Demonstrated experience designing, implementing, and testing end-to-end ML/AI software systems, from data ingestion
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, or decision support. Skills & Attributes Required Proficiency in Python and familiarity with modern ML/AI development workflows. Exposure to C++ and/or Java for performance‑critical components is a plus
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workflow. Experience with C++ and/or Java for performance-critical components is a plus. Demonstrated experience designing, implementing, and testing end‑to‑end ML/AI and/or simulation‑driven software
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engineering practices Software programming, programming languages, and development environments (to include at a minimum C, Java, or Python) Ability to express technical information clearly and concisely in
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or participate in campus activities such as College Coffee, Numen Lumen, campus cultural events, athletic events, continuing education, professional development opportunities and trainings, employee resource
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and mentoring at Elon. Employees are encouraged to, for example, attend or participate in campus activities such as College Coffee, Numen Lumen, campus cultural events, athletic events, continuing
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Ability to translate institutional priorities into achievable AI-enabled solutions Strong development skills in Python or Java with solid software engineering fundamentals is preferred Proficiency with
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environments (to include at a minimum C, Java, and Python) Knowledge of cybersecurity testing / penetration testing tools and methodologies Ability to express technical information clearly and concisely in