Hybrid Principal AI/ML Engineer – Large Language Model

at CACI International Inc

• Job title: Principal AI/ML Engineer – Large Language Model
• Job type: Full Time
• Experience level: Lead
• Salary: $114,600 - $252,100 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, C++, Cloud, Keras, Kubernetes, Numpy, Pandas, Python, PyTorch, React, Remote Sensing, Scikit-Learn, Tensorflow, TypeScript
• Location requirements: Hybrid, Aurora, United States

About the role

• Principal AI/ML Engineer developing AI/ML algorithms and leading a multidisciplined team at CACI. Focusing on large language models and applications for defense and commercial use.

Responsibilities

• Support the development of AI/ML algorithms in object detection/classification, NLP, reinforcement learning, and large language models.
• Lead and mentor a multidisciplined team to implement machine learning algorithms to solve challenges.
• Apply Large Language Models (LLMs) to various applications within remote sensing.
• Fine tune foundation models and build adaptors for new applications.
• Apply retrieval augmented generation (RAG) techniques to data.
• Build custom applications with LLM frameworks.
• Deploy LLM solutions across cloud-based and local resources using kubernetes.
• Analyze large multi-domain datasets to identify statistically relevant features.

Requirements

• BS in machine learning, computer science, mathematics, or related fields.
• 10+ years of experience, preferably in software development or as a data scientist
• 2+ years of building LLM applications using some of the following:
• Fine-tuning foundational models
• Steering Techniques (e.g Sparse auto encoders, representation tuning)
• Building adapters to use foundational models (e.g. PEFT, llama factory)
• Prompt engineering techniques / Inference time techniques (e.g. chain of thought, tree of thoughts, etc.)
• Using Retrieval Augmented Generation techniques to populate and query vector databases (e.g. Weaviate, pinecone)
• Using LLM Frameworks (e.g. LangChain, DSPy)
• Using AI APIs ( e.g AWS Bedrock, OpenAI)
• Using LLM deployment frameworks (eg llama.cpp, vllm, tgi)
• Developing UIs with ReAct
• Experience leading an interdisciplinary team
• Experience with Python and data science / machine learning libraries (e.g. PyTorch, TensorFlow, Keras, OpenCV, NumPy, Pandas, Polars, scikit-learn, etc.)
• Active TS/SCI U.S. Government Security Clearance.

Benefits

• healthcare
• wellness
• financial
• retirement
• family support
• continuing education
• time off benefits