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# Artificial Intelligence/Machine Learning Engineer, Mid

- **Company:** Everwatch Corp.
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $134,992 - $195,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C++ (Programming Language), Data Cleansing, Decision Support Systems, Distributed Systems, Intelligence Analysis, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Scala (Programming Language), Search Technologies, Systems Integration, Workflow Management Systems, Data Processing, Feature Engineering, Pytorch, Large Language Models, Prompt Engineering, Deep Learning, Model Validation, Topic Modeling, Agentic-AI, Containerization, Kubernetes, Information Technology, Operational Systems, Data Management, Machine Learning Operations, Document Classification, Data Pipelines, Docker, Programming Languages
- **Published:** November 3, 2026
- **Apply:** https://www.careerbuilder.com/job-details/artificial-intelligence-machine-learning-engineer-mid-annapolis-junction-md--4fe79c9c-f4d0-45df-b40b-78b44ec3635d

## About the Role

Artificial Intelligence (AI), Machine Learning, Government, Defense Intelligence, Aerospace and Defense, Machine Learning, Artificial Intelligence (AI), Operational Improvement, Decision Support, Automation, * 5-10 years of experience building and deploying machine learning models in professional, research, or mission-oriented environments

 * Experience with integrating LLMs or AI APIs into applications, tools, or workflows
 * Experience in Python for AI/ML development and data processing
 * Knowledge of modern AI/ML 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
 * TS/SCI clearance with a polygraph
 * Bachelor's degree in Computer Science, Data Science, Electrical Engineering, Mathematics, Statistics, or Master's degree with 3+ additional years of experience; or PhD with demonstrable applied AI/ML engineering experience

Nice If You Have:

 * Experience with deep learning frameworks such as PyTorch or TensorFlow
 * Experience with cloud platforms such as AWS, Azure, or GCP
 * 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 (NLP) techniques including text classification, topic modeling, or semantic search
 * Knowledge of agentic AI frameworks and autonomous workflow design patterns
 * Knowledge of MLOps practices including model lifecycle management, experiment tracking, and automated retraining
 * Additional programming language experience with Java, Scala, C++, or R

## Description

EverWatch employees are focused on tackling the most difficult challenges of the US Government. We offer the best salaries and benefits packages in our industry - to identify and retain the top talent in support of our critical mission objectives., Cyber and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security. As an AI/ML Engineer at EverWatch Solutions, you will 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.

You will collaborate with operators, analysts, software developers, and mission leadership to capture operational needs and translate them into effective AI-enabled capabilities. Your work may include developing LLM-powered workflows, agent-based automation, and other AI/ML solutions that streamline analytical tasks and improve mission effectiveness.

You will support the integration of AI capabilities into existing operational systems while ensuring solutions are reliable, scalable, and compliant with security and governance requirements in classified environments. Additionally, you will contribute to data pipeline development, model evaluation, workflow optimization, and operational testing to support production-ready AI solutions.