Booz Allen Hamilton-posted about 1 year ago
$96,600 - $220,000/Yr
Part-time • Senior
Fort Belvoir, VA
Professional, Scientific, and Technical Services

As a Senior AI and ML Engineer, you will play a crucial role in developing machine learning solutions that support critical defense missions. Your expertise in statistical analysis and machine learning techniques will be essential in processing large datasets and delivering customer-focused solutions. You will be responsible for training, testing, deploying, and maintaining machine learning models, particularly in optical character recognition (OCR) and natural language processing (NLP). Collaborating with a diverse team of engineers and data scientists, you will guide clients in navigating ML algorithms and technologies to create impactful solutions for the special operations community.

  • Train, test, deploy, and maintain machine learning models.
  • Define the direction of mission-critical solutions using best-fit ML algorithms.
  • Collaborate with data engineers, data scientists, solutions architects, and product owners.
  • Guide clients in understanding and implementing ML algorithms and tools.
  • 5+ years of experience in ML engineering, data science, research engineering, software engineering, or full stack engineering.
  • Experience with object-oriented programming in Java, C++, or Python.
  • Experience with containerization tools like Docker or Kubernetes.
  • Experience with the Army Data Platform or Army Vantage.
  • Experience with SQL databases.
  • Knowledge of DoD and IC domain and AI principles.
  • Knowledge of data science fundamentals and methods.
  • TS/SCI clearance required.
  • Bachelor's degree in Computer Science or Engineering.
  • Experience developing and deploying ML models in DoD environments.
  • Experience with training models in Databricks with MLflow.
  • Experience with API development and database management using JavaScript frameworks.
  • Experience with ETL tools, data warehousing, and data pipeline development.
  • Experience with PostgreSQL.
  • Experience with pandas or GeoPandas.
  • Experience with visualization tools like Tableau, Anaconda, or R Studio.
  • Ability to deploy applications to cloud environments like Google Cloud or AWS.
  • Master's degree.
  • Health insurance
  • Life insurance
  • Disability insurance
  • Financial benefits
  • Retirement benefits
  • Paid leave
  • Professional development
  • Tuition assistance
  • Work-life programs
  • Dependent care support
  • Recognition awards program
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