AI Solutions Developer

Responsibilities and Duties:
- Collaborate with researchers, faculty, and IT professionals to identify areas where AI solutions can significantly enhance business processes and research data analysis.
- Develop and implement generative AI algorithms for abstract summary analysis of contracts, proposals, or other technical papers, capturing key insights to aid staff in their work.
- Design and deploy chatbot-based knowledge management systems that provide user-friendly access to vast amounts of organizational knowledge.
- Create code assistance tools leveraging AI to optimize programming productivity, with a focus on meeting the specific needs of researchers and developers.
- Continuously assess and enhance AI solutions based on user feedback, emerging technologies, and industry advancements.
- Conduct thorough testing, troubleshooting, and debugging of AI solutions to ensure optimal functionality and performance.
- Collaborate with cross-functional teams to integrate AI solutions into existing research infrastructure and maximize their impact organization-wide.
- Stay up-to-date with the latest advancements and research in AI, machine learning, and natural language processing, and incorporate relevant findings into solution development.

Qualifications:
- Bachelor's degree in computer science or a related field.
- Proven professional experience in AI solution development, with a strong emphasis on natural language processing, machine learning, and      generative models.
- Proficiency in programming languages such as Java, Python, or similar, with experience in utilizing relevant libraries and frameworks (e.g.,   TensorFlow, PyTorch, NLTK).
- Familiarity with cloud computing platforms and services, such as Amazon Web Services (AWS) or Microsoft Azure.
- Strong problem-solving abilities and analytical mindset, with the ability to translate complex research data and requirements into practical AI solutions.
- Excellent communication and collaboration skills to effectively work with cross-functional teams, researchers, and faculty.
- Demonstrated ability to manage multiple projects simultaneously and deliver high-quality results within established timelines.