Artificial Intelligence/Machine Learning Engineer, Mid

Everwatch

$135K — $195K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-10 years in AI/ML model development in relevant settings
  • Experience with integrating LLMs or AI APIs into workflows
  • Proficiency in Python for AI/ML and data processing
  • Knowledge of AI/ML development patterns and model integration
  • Skilled in data preprocessing, feature engineering, and model evaluation
  • Strong problem-solving ability in fast-changing tech landscapes
  • Active TS/SCI clearance with a polygraph
  • Relevant bachelor’s degree or advanced degree plus experience in AI/ML engineering

Responsibilities

  • Work directly with mission users to enhance operational workflows using AI/ML solutions
  • Collaborate with cross-functional teams to identify and translate operational needs into AI capabilities
  • Develop LLM-powered workflows and agent-based automation for efficiency
  • Integrate AI solutions into existing systems while maintaining compliance and security
  • Contribute to data pipeline development, model evaluation, and workflow optimization
  • Support operational testing and readiness for AI solutions in classified settings

Benefits

  • Engagement in mission-critical projects that impact national security
  • Opportunity to work alongside government analysts and mission operators
  • Collaborative work environment focused on innovative AI solutions
  • Access to advanced technologies and methodologies in AI/ML
  • Potential for growth and continued learning in a specialized field of AI/ML engineering
Full Job Description
Job Title

Artificial Intelligence/Machine Learning Engineer, Mid

Responsibilities

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.

Join us. The world can't wait.

Qualifications

You Have:
  • 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


Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with a polygraph is required.

Compensation at EverWatch is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $64.90 to $93.75 per hour. The estimate displayed represents the typical compensation range for this position and is just one component of EverWatch's total compensation package for employees.

Clearance Level

TS/SCI CIP

Job Locations

US-MD-Annapolis Junction

Skills

AI/ML, LLM, API, Python

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