Idea Factory - Associate Director Of Development & Ai Systems Architect (llm/rag)
UMCP (University of Maryland)
College Park, Maryland, US
Base: $125,000 - $155,000; bonus/equity: not speci...
Llm pipeline construction
Llm fine-tuning and model optimization
Vector databases
This role is central to delivering a scalable, production-ready platform and will have significant influence over the company's technology stack and approach
Job Summary
This role is central to delivering a scalable, production-ready platform and will have significant influence over the company's technology stack and approach.
We empower students to become agents of change, capable of addressing complex problems and making a tangible impact on the world.
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.
Matching Summary
This role is central to delivering a scalable, production-ready platform and will have significant influence over the company's technology stack and approach.
Salary
Base: $125,000 - $155,000; Bonus/Equity: Not specified; Benefits: For more information on Regular Faculty benefits, select this link
Skills & Requirements
Must-have
LLM pipeline construction
LLM fine-tuning and model optimization
vector databases
cloud platforms for ML workloads
MLOps practices and model deployment
natural language processing
Nice-to-have
multidisciplinary collaboration
founder mindset and skills
adaptability, resourcefulness, risk tolerance
educational technology experience
contributions to open-source AI projects
Key Requirements
Master's in Computer Science, Machine Learning, Artificial Intelligence, or related field
5+ years of professional experience in machine learning/AI
Deep knowledge of Python and advanced programming concepts
Experience with ML frameworks like TensorFlow, PyTorch, or JAX
Experience with broader AI concepts including CNNs, transformers
Experience with cloud platforms (AWS, Azure, Google Cloud)