Visiting Senior Faculty Specialist-1

University of Maryland•College Park, MD

About The Position

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.

Requirements

Master's in Computer Science, Machine Learning, Artificial Intelligence, or related field. Bachelor's degree with exceptional experience, 5+ years, will be considered.
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.
Deep knowledge of Python and advanced programming concepts
Experience with LLM pipeline construction (e.g., LangChain, LlamaIndex, Haystack)
Proven experience with LLM fine-tuning and model optimization
Expertise with ML frameworks like TensorFlow, 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
Python
Familiarity with JavaScript/TypeScript for API integration
Experience with CUDA/GPU programming for model training

Nice To Haves

Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field preferred
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.
Experience with SQL, Java, and statistical languages like R or Julia
Knowledge of database concepts and interaction with AI systems (PostgreSQL, MongoDB, 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