Senior AI/ML Engineer — Scalable, Responsible AI for Higher Ed

University of New England; Portland (ME); On-site; USD 95,000 - 102,000; Full time

Job summary

The University of New England in Portland, Maine, seeks a Senior AI/ML Engineer to design, deploy, and optimize AI/ML solutions across academic, administrative, and research domains. This role reports to ITS leadership and acts as a subject-matter expert in responsible AI while collaborating with faculty and staff.

Responsibilities include building models and pipelines (Python), integrating with ERP/SIS/CRM, ensuring data quality, governance, and cost monitoring, and leading AI standards.

Qualifications

• Five years of software, data, or ML engineering experience with at least three in production AI/ML.
• Experience building LLM/generative AI solutions with prompt engineering, embeddings, and vector databases.
• Proficient in Python, ML libraries, SQL, and data governance concepts.

Responsibilities

• Design, build, test, and deploy AI/ML models, pipelines, and apps.
• Develop LLM/generative AI and RAG solutions; implement clean code in Python.
• Integrate AI with ERP/SIS/CRM/LMS via APIs; collaborate for secure, scalable systems.
• Monitor model performance, drift, cost, and reliability in production.
• Provide technical leadership and promote AI literacy across the university.

Skills

Python

Analytical thinking

Communication skills

Problem solving

Translate requirements

Education

Bachelor’s degree in computer science or related field

Master’s degree in related field (preferred)

Tools

Azure OpenAI

Hugging Face

LangChain

PyTorch

TensorFlow

scikit-learn

Git

CI/CD

APIs

MLOps

Job description

The University of New England in Portland, Maine, seeks a Senior AI/ML Engineer to design, deploy, and optimize AI/ML solutions across academic, administrative, and research domains. This role reports to ITS leadership and acts as a subject-matter expert in responsible AI while collaborating with faculty and staff.

Responsibilities include building models and pipelines (Python), integrating with ERP/SIS/CRM, ensuring data quality, governance, and cost monitoring, and leading AI standards.