AI and ML Engineer

Booz Allen Hamilton•Charleston, SC

About The Position

AI and ML Engineer The Opportunity: As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to c ond uct 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 support the next generation of systems. As a machine learning engineer on our 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 machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and subject matter experts to deliver world-class solutions to process data and information to provide near real-time analysis. Your advanced 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 challenges and define ML strategy. Join us. The world can’t wait.

Requirements

Experience in AI, Python programming, and deep learning frameworks, such as PyTorch, MXNet, TensorFlow, or Keras, and big data technologies, such as Hive, PySpark, Synapse, or Databricks
Experience developing Natural Language Processing ( NLP ) , Large Language Model ( LLM ) , and Retrieval-Augmented Generation ( RAG ) enabled solutions
Experience working with API services for serving NLP and analytical models, such as Flask or Fast API
Experience with DevOps Tools, such as Docker, K8s, or Gitlab CI / CD
Knowledge of AI-enabled systems
Knowledge of AI concepts, such as clustering, regression, algorithm selection, and evaluation
Ability to address unbounded technical issues and problem-solve
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
HS diploma or GED

Nice To Haves

Experience with HTML, CSS, and front-end web frameworks
Experience with Amazon Web Services ( AWS ) or Azure AI ML Services, such as Bedrock and Sagemaker
Experience working in enterprise systems
Experience with Data Operations, such as analytics, engineering, or platform
Knowledge of artifi cia l intelligence principles and practices, including deploying ML models into production
Ability to evaluate algorithm performance
Bachelor's degree
Security+, Cloud, Sof tware Development, AI and ML, Computer Vision, Deep Learning, or NLP Certification