Visiting Senior Faculty Specialist

Position: Visiting Senior Faculty Specialist-1
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** Job Description Summary
** Organization's Summary Statement:
Maryland Technology Enterprise Institute (MTech) seeks a professional who will lead the architecture, design, and implementation of the core LLM/RAG systems. This role is central to delivering a scalable, production-ready platform and will have significant influence over the company's technology stack and approach. You'll work under the direction of the Director of Technology Services to implement cutting-edge AI solutions that support our mission-critical programs while providing regular updates on technical progress and strategic recommendations.
At xFoundry, we're on a mission to tackle global challenges through multidisciplinary collaboration, creativity, and actionable solutions. We empower students to become agents of change, capable of addressing complex problems and making a tangible impact on the world. Through immersive competitions and projects, we cultivate the mindset and skills of a founder, qualities like adaptability, resourcefulness, risk tolerance, and resilience.
The

A. James Clark School of Engineering at the University of Maryland catalyzes high-  quality research, innovation, and learning, preparing our students to create innovations that will address the 21st century Grand Challenges (e.g., energy, environment, security, and human health) and improve the human condition. The Clark School is dedicated to leading and transforming the engineering discipline and profession, accelerating entrepreneurship, and transforming research and learning activities into innovations that benefit millions.

Minimum Qualifications

Education:

Master's in Computer Science, Machine Learning, Artificial Intelligence, or related field. Bachelor's degree with exceptional experience, 5+ years, will be considered.

Experience:

5+ years of professional experience in machine learning/AI, with extensive foundational experience in machine learning valued more highly than brief, recent-only LLM experience.
Physical Demands:  Sedentary work performed in a normal office environment; exerts up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. Ability to attend meetings both on and off campus.
Preferences:  
1. Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field preferred  2.

Experience:

8+ years of professional experience in machine learning/AI, with extensive foundational experience in machine learning valued more highly than brief, recent-only LLM experience.  OTHER:  
1. Technical

Skills:

Deep knowledge of Python and advanced programming concepts;

Experience with LLM pipeline construction (e.g., Lang Chain, Llama Index, Haystack);
Proven experience with LLM fine-tuning and model optimization;
Expertise with ML frameworks like Tensor Flow, PyTorch, or JAX;

Experience with broader AI concepts including CNNs, transformers, and data classification;
Proficiency with vector databases (Pinecone, Weaviate, Chroma, FAISS);

Experience with cloud platforms (AWS, Azure, Google Cloud) for ML workloads;
Knowledge of MLOps practices and model deployment pipelines;
Understanding of natural language processing and information retrieval systems  
2. Programming

Languages:

Python;
Familiarity with JavaScript/Type Script for API integration;

Experience with CUDA/GPU programming for model training;
3.

Preferred Qualifications:

Experience with SQL, Java, and statistical languages like R or Julia;
Knowledge of database concepts and interaction with AI systems (Postgre

SQL, Mongo

DB, Redis);

Experience with containerization (Docker) and orchestration (Kubernetes);
Familiarity with distributed computing frameworks (Spark, Ray);
Experience in educational technology or higher education settings;
Publications or contributions to open-source AI projects      Licenses/

Certifications:

NA#
** Additional Job Details
**** Additional Information:
** UMD will not sponsor the successful candidate for work authorization in the United States now or in the future
** Required Application Materials:
** Cover Letter, Curriculum Vitae,…