Artificial Intelligence Intern

PRGX Global-posted 2 months ago
Intern
Atlanta, GA
1,001-5,000 employees
Professional, Scientific, and Technical Services
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PRGX is the global leader in source-to-pay data analytics and software, and tech-enabled profit recovery services. We provide software and services to maximize revenue recovery and drive margin improvement for our clients. For more information about PRGX, visit www.prgx.com.

  • Apply machine learning algorithms and statistical models to large datasets to identify trends, patterns, and relationships.
  • Collaborate with cross-functional teams to understand business objectives and develop data-driven solutions.
  • Design and implement end-to-end machine learning pipelines, from data preprocessing to model training, evaluation, and deployment.
  • Stay up to date with the latest research and developments in machine learning and artificial intelligence.
  • Communicate complex data insights and findings to non-technical stakeholders through visualizations and presentations.
  • Other duties as assigned.
  • Current Master of Science or PhD student in relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science.
  • Academic/industry experience of applying NLP, AI techniques to solve complex data problems.
  • Strong knowledge of machine learning and deep learning algorithms and statistical models, including supervised and unsupervised learning methods.
  • Experience with data preprocessing, feature engineering, and data visualization techniques.
  • Proficiency in Python programming, and experience working with large unstructured data.
  • Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.
  • Strong problem-solving skills and attention to detail.
  • Experience with agile development methodologies and version control tools such as Git.
  • Experience working with natural language processing (NLP) techniques preferred.
  • Familiarity with deep learning frameworks such as TensorFlow or PyTorch preferred.
  • Knowledge of cloud computing platforms such as AWS, GCP, or Azure preferred.
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