Competitive salary; not specified; benefits includ...
Hybrid
Large language model (llm) based agents
Natural language processing and information retrieval
Python coding and statistical analysis
This role involves designing and implementing state-of-the-art Large Language Model (LLM) based agents to synthesize complex information within business workflows
Job Summary
This role involves designing and implementing state-of-the-art Large Language Model (LLM) based agents to synthesize complex information within business workflows.
The team supports a global sales force of over 5,000 associates driving $4.9B in annual revenue through tactical and analytical insights.
Gartner offers competitive salary, generous paid time off, group medical insurance, parental leave, and unlimited growth opportunities in a hybrid work environment.
Matching Summary
This role involves designing and implementing state-of-the-art Large Language Model (LLM) based agents to synthesize complex information within business workflows.
Salary
Competitive salary; Not specified; Benefits include charity match, Group Medical Insurance, Parental Leave, EAP
Skills & Requirements
Must-have
Large Language Model (LLM) based agents
Natural Language Processing and Information Retrieval
Python coding and statistical analysis
Prompt Engineering and working with LLMs
Statistical techniques and data mining
User behavior modeling and recommendation systems
Nice-to-have
Experience with large volumes of data
Collaborative and inclusive mindset
Strong organizational skills
Innovative problem-solving approach
Ability to manage tasks end-to-end
Key Requirements
BS/MS/PhD in Computer Science, Math, Physics, Statistics, or Economics
3+ years of experience in data science methodologies
Minimum 3+ years of experience in Python coding
Minimum 2 years of experience in Natural Language Processing
Minimum 2 years of experience in Prompt Engineering