About The Position

Artificial Intelligence & Machine Learning Engineer, Junior The Opportunity: 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 solve problems 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), or Retrieval-Augmented Generation (RAG) enabled solutions
  • Knowledge of AI-enabled systems
  • Knowledge of AI concepts such as clustering, regression, algorithm selection, and evaluation
  • Ability to address unbounded technical issues
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
  • HS diploma or GED

Nice To Haves

  • 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
  • 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 artificial intelligence principles and practices, including deploying ML models into production
  • Ability to evaluate algorithm performance
  • Bachelor's degree
  • Security+, Cloud, Software Development, AI and ML, Computer Vision, Deep Learning, or NLP Certification

Benefits

  • health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care.
  • Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values.
  • Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs.
  • Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.
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