PRGX is looking to leverage Artificial Intelligence and Machine Learning to analyze large datasets, identify trends, and develop data-driven solutions to maximize revenue recovery and drive margin improvement for their clients.
Requirements
- 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.
- 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.
Responsibilities
- Apply machine learning algorithms and statistical models to large datasets to identify trends, patterns, and relationships.
- 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.
- Collaborate with cross-functional teams to understand business objectives and develop data-driven solutions.
Other
- Must be authorized to work in the United States
- English
- Current Master of Science of PhD student in relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science.
- Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.
- Strong problem-solving skills and attention to detail.
