Creates and implements data models and ontologies to support knowledge representation
Tests and evaluates new models to identify areas of improvement and optimization
Supports the integration of knowledge systems into existing organizational infrastructure while ensuring seamless data flow
Collaborates with cross-functional teams within the organization to gather and translate requirements into effective knowledge frameworks
Researches and implements cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient
Conducts audits of knowledge resources to maintain accuracy and relevance
Applies advanced analytics and data visualization tools to tell the story behind the numbers
Stays current with industry trends, making recommendations of new technologies and solutions that deliver strategic business value and reduce cost
Supports innovation to drive improvements and optimize performance

Bachelor’s degree or equivalent experience
Minimum of 7 years of experience in Data Analytics, Data Science or Business Intelligence
5+ years of strategic analysis designed to inform product or business decision making
Direct experience working with GenAI, LLM fine-tuning, knowledge graphs, and related tools and techniques
Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models
Proficiency with common AI and ML applications, data mining and statistic tools, scripting, and programming experience such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS desired
Advanced understanding of information models, knowledge representation and reasoning
Proficiency in cloud data platforms, data sciences, and application development
Experience with semantic web technologies and linked data principles is preferred
AWS Cloud/Redshift experience preferred

Applied AI, NLP Solutions Specialist

Key skills