AI/Machine Learning Engineer
Fordham University · New York, NY · 4 days ago
EngineeringFull-time
About the role
Fordham University, founded in 1841, is a Jesuit institution with a comprehensive benefits package including medical, dental, and vision insurance; flexible spending accounts; retirement plans; life insurance; short and long-term disability; employee assistance program (EAP); tuition remission; and generous time off.
Responsibilities
- Designs and deploys multi-agent systems capable of reasoning, tool-use, and autonomous problem-solving throughout the student success lifecycle (Recruitment, Learning and Development, Career Services, and Alumni Relations).
- Develops and maintains predictive models that provide actionable insights into areas such as student success, enrollment planning, operational efficiency, and early identification of students who may benefit from timely support.
- Identifies opportunities to improve university operations and student outcomes through practical AI/ML solutions, including workflow automation, decision-support tools, and AI-assisted administrative processes.
- Serves as the liaison between university leadership (Administration, Deans, Faculty), technical AI/Data Science teams, and external vendors to align academic mission with technological execution.
Requirements
- Master’s in Computer Science, AI/Data science, Engineering, or a related field.
- Minimum of 5 years of experience in Machine Learning or Data Science, with a track record of deploying predictive models in a production environment.
- Deep proficiency in Large Language Models (LLMs) and development & deployment of autonomous AI agents (for example, leveraging LangChain and CrewAI) to move beyond simple chat interfaces into scalable, agent-driven automation.
- Strong foundation in statistical modeling and classification algorithms.
- Proficiency in building RAG (Retrieval-Augmented Generation) pipelines and working with vector databases.
- Strong coding skills in Python and experience with MLOps frameworks to monitor model drift and performance.
Qualifications
- Ph.D degree in Computer Science, Engineering, or a related field preferred.
- Minimum Starting Salary: $128,000
- Maximum Starting Salary: $160,000
Benefits
The University offers a comprehensive benefits package that includes medical, dental, and vision insurance; flexible spending accounts; retirement plans; life insurance; short and long-term disability; employee assistance program (EAP); tuition remission; and generous time off.
Pay
Salary is commensurate with qualifications, experience, and skills.
Schedule
Scheduled Hours Per Week: 35