AI and ML Engineer

AI and ML EngineerThe Opportunity: As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to develop AI/ML solutions for challenging customer problems. As an ML engineer on our national security team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll be part of a large community of ML engineers across the company and collaborate with data scientists, solutions architects, subject matter experts, product owners, and end users to deliver world class AI/ML solutions to a wide variety of national security problems. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world national security challenges in AI/ML. Join us. The world can’t wait. You Have: 3+ years of experience in AL/ML-based solutions, including Python programming and deep learning frameworks such as PyTorch, TensorFlow, or Keras Experience developing Natural Language Processing (NLP), Large Language Models (LLM), and Retrieval-Augmented Generation (RAG)-enabled solutions Experience applying AI/ML research to develop AI/ML solutions Knowledge of core AI/ML concepts, including clustering, regression, classification, algorithm selection, and model evaluation Knowledge of the Software Development Life Cycle (SDLC) and commonly used tools such as Git Ability to work independently with limited guidance and direction TS/SCI clearance with a polygraph Bachelor's degree in a CS, AI, Mathematics, or Statistics field Nice If You Have: Experience in rapid prototyping or developing proofs of concepts to demonstrate or validate AI/ML capabilities Experience deploying AI/ML solutions into production environments using end-to-end model pipelines and tools such as Docker or Kubernetes Experience with AI agent frameworks, including LangChain or LlamaIndex Experience fine-tuning large-scale models for domain-specific tasks in secure or fully isolated, air-gapped environments Experience leading small teams of AI/ML developers or researchers Experience with high performance computing Experience with major cloud platforms such as AWS, and their respective AI services such as SageMaker Experience with data analysis and creation of data-driven visualizations Master’s degree in CS, AI, Mathematics, Statistics, or a related field Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.