The Institute for Experiential AI (EAI) at Northeastern University is looking to solve pressing issues for organizations by building AI products and providing data science and AI expertise to industry partners and researchers. This role will help deliver data science and AI projects, courses, and professional development programs, contributing to the development and maintenance of a cutting-edge data platform and the strategic use of data science to support the Institute's mission.
Requirements
- Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.
- Professional experience developing machine learning solutions and applying them in real-world scenarios.
- Proficiency with machine learning frameworks and pipelines in SKLearn, Numpy, Pandas, and PyTorch.
- Proficiency with deep learning frameworks such as PyTorch, TensorFlow, LangChain, HuggingFace, axolotl.
- Knowledge of and ability to select, adapt, and effectively use large AI foundational models.
- Professional experience developing solutions using NLP, computer vision, or forecasting.
- Proficiency with statistical computer languages such as Python or R.
Responsibilities
- Assist in delivering data science and AI projects and expertise to its industry partners and researchers.
- Assist in delivering data science and AI courses and professional development programs to learners across the University and industry.
- Help build AI products that will solve the most pressing issues for organizations, including Responsible AI.
- Develop and maintain a cutting-edge data platform.
- Acquire data sets for research and education purposes.
- Use data science strategically to support the Institute’s mission.
- Assisting technical solutioning using latest research, technical delivery of projects by defining tasks, by providing contributions (architecting, coding, scaling, and deploying), conducting experiments and synthesizing results
Other
- Graduate degree (Masters/PhD) in Computer Science, Engineering, Mathematics, Statistics, or similar disciplines and two or more years of professional experience, or can convincingly demonstrate this level of skill.
- Experience assisting technical staff in the completion of projects.
- Experience communicating with technical and non-technical stakeholders and translating business problems into technical specifications.
- Excellent verbal and written communication skills
- Drive to learn new technologies, statistical methods, and data manipulation techniques.
