Artificial Intelligence/Machine Learning Engineer, Junior

Everwatch•Annapolis Junction, MD

1d•$55 - $72•Onsite

About The Position

EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country’s most critical missions. We are a full-service government solutions company. Harnessing the most advanced technology and solutions, we strengthen defenses and control environments to preserve continuity and ensure mission success. 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.

Requirements

1-4 years of experience with Python for data analysis and machine learning tasks through academic, internship, or project-based work
Knowledge of machine learning concepts including supervised learning, model evaluation, and data preprocessing
Familiarity with standard data science libraries and development tools
Ability to think analytically, solve problems effectively, and learn quickly in a fast-paced, mission-oriented environment
Ability to collaborate within a team and communicate technical concepts clearly
TS/SCI clearance with a polygraph
Bachelor’s degree in computer science, Data Science, Electrical Engineering, Mathematics, Statistics, or a related technical field or master’s degree with limited experience

Nice To Haves

Experience with academic coursework, thesis work, or capstone projects involving machine learning, natural language processing, or data science applications
Experience with version control tools such as Git and collaborative development environments
Knowledge of deep learning frameworks such as PyTorch or TensorFlow
Knowledge of large language models (LLMs) and generative AI concepts
Knowledge of cloud platforms such as AWS, Azure, or GCP
Knowledge of containerization technologies such as Docker or Kubernetes
Knowledge of agentic AI, retrieval-augmented generation (RAG), or other applied NLP techniques
Prior internship, co-op, research, or project experience supporting government, defense, or intelligence community environments

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 LLM-powered workflows, agent-based automation, and other AI/ML solutions that streamline analytical tasks and improve mission effectiveness.
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.
Contribute to data pipeline development, model evaluation, workflow optimization, and operational testing to support production-ready AI solutions.