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Everwatch

Providing defense, intelligence, and mission support

Artificial Intelligence/Machine Learning Engineer

Applied Machine LearningPosted on Nov 5
Full-timeAnnapolis Junction, MD, USA$64.90 - $93.75 /hrIn-person

About the Job

Requirements

  • At least 5 years of experience building and deploying machine learning models in professional, research, or mission-oriented environments.
  • Experience integrating large language models or artificial intelligence application programming interfaces into applications, tools, or workflows.
  • Experience using Python for artificial intelligence and machine learning development and data processing.
  • Knowledge of modern artificial intelligence and machine learning development patterns, including model integration, prompt engineering, and orchestration.
  • Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
  • Ability to analyze complex problems and operate effectively in evolving technical environments.
  • An active Top Secret/Sensitive Compartmented Information clearance with a polygraph is required.
  • A bachelor's degree in Computer Science, Data Science, Electrical Engineering, Mathematics, or Statistics; alternatively, a master's degree with 3+ additional years of experience; or a PhD with demonstrable applied AI/ML engineering experience.

Responsibilities

  • Work directly with mission users to develop and deploy artificial intelligence and machine learning solutions that enhance operational workflows, improve data accessibility, and support rapid decision-making in secure environments.
  • Collaborate with operators, analysts, software developers, and mission leadership to capture operational needs and translate them into effective AI-enabled capabilities.
  • Develop large language model-powered workflows, agent-based automation, and other AI/ML solutions that streamline analytical tasks and improve mission effectiveness.
  • Support integration of artificial intelligence capabilities into existing operational systems, ensuring solutions are reliable, scalable, and compliant with security and governance requirements in classified environments.
  • Contribute to data pipeline development, model evaluation, workflow optimization, and operational testing to support production-ready AI solutions.

Desired Qualifications

  • Experience with deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with containerization and orchestration tools such as Docker or Kubernetes.
  • Experience with data processing pipelines, distributed computing, and feature engineering at scale.
  • Experience with natural language processing techniques, including text classification, topic modeling, or semantic search.
  • Knowledge of agentic artificial intelligence frameworks and autonomous workflow design patterns.
  • Knowledge of machine learning operations practices, including model lifecycle management, experiment tracking, and automated retraining.
  • Experience with additional programming languages such as Java, Scala, C++, or R.

About the Company

Everwatch

Providing defense, intelligence, and mission support

EverWatch Solutions provides government-focused defense, intelligence, and deployed support services. It delivers mission-critical solutions to government agencies through custom software development, system engineering, and mission operations support, using advanced technology to gather and analyze actionable intelligence. The company operates primarily on government contracts and long-term service agreements, differentiating itself by deep domain expertise in defense and intelligence, a focus on public-sector needs, and a capability to provide end-to-end services from software creation to operational support. Its goal is to help public-sector clients operate safely and efficiently by delivering specialized, high-value services that support intelligence gathering, decision-making, and mission execution.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Reston, VA
Founded
1999

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