Artificial Intelligence Intern
2 weeks ago
We provide business intelligence to unlock value from data and expand impact across our clients' organizations for healthier whole businesses.
PRGX pioneered Recovery Audit nearly 50 years ago and is now the global leader in source-to-pay analytics and margin expansion.
We empower clients in more than 30 countries with the business intelligence to recover $1.2 billion in annual cash flow, unlocking value and improving the overall health of organizations across the world.
We collaborate with supplier communities to realize improved profits and deliver the tools to optimize processes, finding immediate and lasting value.
With end-to-end technology and deep vertical expertise that underpins our recovery, preventive, and analytics solutions, we provide actionable insights to minimize leakage, optimize cash flow, and shape stronger, healthier businesses.
For additional information on PRGX, please visit our website.
Job DescriptionWe are seeking a talented AI Intern or a co-op with Natural Language Processing (NLP) and Generative AI skillsets to join our team.
This role will report to the Director, Artificial Intelligence and be based out of PRGX's Atlanta office.
The ideal candidate will be pursuing a Master of Science or PhD degree in a relevant field, have academic/industry experience applying NLP, artificial intelligence techniques to solve complex data problems.
As a member of our AI team, you will be responsible for designing and implementing machine learning models to extract insights and drive decision making across the organization.
Key Responsibilities- 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.
- Current Master of Science or PhD student in a 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.
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
- Knowledge of cloud computing platforms such as AWS, GCP, or Azure.
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