As a Lead Artificial Intelligence (AI) Facilitator, you will be an integral part of Purdue’s Rosen Center for Advanced Computing (RCAC) team, helping lead RCAC’s research support for AI. You will have the opportunity to be at the forefront of the field by contributing to Purdue’s overall AI strategy and helping guide its direction. This position will provide an opportunity to work on a variety of data science and AI projects.

With limited oversight from manager, you will be responsible as the subject matter expert for leading, designing, and managing projects that support AI on large-scale research computing systems. You will provide measurable input and engage in active development of collaborative partnerships with university researchers, centers, staff, national partners, and/or vendors to lead implementation of data analytics and AI projects needed to drive Purdue’s cutting-edge research. You will utilize creativity and innovation to solve complex computational problems raised by researchers and help reduce research bottlenecks. You will consult with researchers to identify and determine requirements based on their unique research needs, provide data science and AI expertise, and collaborate with them to develop proposal opportunities. You will lead the evaluation and deployment of various custom and enterprise AI tools and use data to communicate with leadership and other stakeholders. You will design and deliver training workshops on tools that support AI research. You may be responsible for coaching and reviewing the work of lower-level professionals.

We are seeking individuals with expertise in AI, ML, or data science and will provide support, mentorship, and training in cyberinfrastructure (CI) best practices to the successful candidate to support research teams at Purdue and nationally.

Rosen Center for Advanced Computing values and support engagement in national computing activities, workshops, conferences, and interest groups and provides ample opportunities to innovate and present research activities at appropriate venues.

Purdue University’s Rosen Center for Advanced Computing is committed to promoting and advancing all forms of diversity, equity, inclusion and access (DEIA) to create an environment and culture where the uniqueness of individuals is celebrated and persons from all backgrounds can thrive.

Purdue’s Rosen Center for Advanced Computing provides access to leading-edge computational and data storage systems as well as expertise in a broad range of high-performance computing activities. To fulfill our mission, we:

• provide advanced computational resources and services to support Purdue faculty and staff researchers
• evaluate, deploy, and support hardware and software for large-scale scientific computing
• promote the effective use of our research computing systems and application software through training and education, consultation, and documentation
• contribute to the discovery process through algorithm design and development of effective computing techniques

When you join Purdue University, you join a community that keeps moving forward. For more than 150 years, we’ve been known for not only our groundbreaking work in STEM research, but also for our collective imagination, ingenuity and innovation.

Education and Experience Needed

• Master’s degree in engineering, math, physical or life sciences, computer science or related field; PhD preferred
• Four (4) years of experience in data analysis, algorithms, and software development; implementing and supporting machine learning or data analytics applications or workflows on large scale research computing system; working with large volumes of data, developing custom analysis methods, and optimizing performance of data-intensive computing applications; and/or using higher-level languages such as Python and/or R in relation to data analytics
• Equivalent combinations of education and experience will be accepted

Skills Needed:

• Familiarity with all aspects of a data science and AI lifecycle and common data science best practices
• Expertise in AI and deep learning, from traditional deep learning to emerging GenAI models
• Knowledge of common data science and ML technologies, languages, frameworks, and packages (e.g., Python, SQL, tensorflow/pytorch, pandas)
• Demonstrated project management and prioritization skills with the ability to plan, organize and prioritize tasks, and complete projects with minimal supervision
• Ability to:
  • work positively in an inclusive and diverse environment
  • work as part of a high performing team in a collaborative environment
  mentor other students

  Preferred:

  • Demonstrated ability to effectively mentor other professionals and delegate tasks
  Good English communication skills, including experience in submitting papers or contributing to grant proposals

  Additional Information:

  • Purdue University will not sponsor employment authorization for this position
  • A background check will be required for employment in this position
  • FLSA: Exempt (Not Eligible for Overtime)
  • Retirement Eligibility: Immediate Defined Contribution
  • Purdue University is an EEO/AA employer fully committed to achieving a diverse workforce. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply
  • Benefit Statement: Purdue University offers a substantial Benefit Package including medical, dental, and vision insurance as well as a generous paid time off package for sick and vacation days

Purdue is a community built on collaboration, with global perspectives, Boilermaker pride and endless opportunity to live, learn and grow. Join us and contribute to our culture.