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AI / ML Services Development & Support Engineer

AI / ML Services Development & Support Engineer

JMark Services Inc.Dayton, OH, United States
1 day ago
Job type
  • Full-time
Job description

Job Title : AI / ML Services Development & Support Engineer

Location : Wright Patterson AFB

Clearance Required : Active TS / SCI preferred; minimum Secret (with ability to upgrade)

Employment Type : Full-time; contingent upon contract award

Overview

JMark Services is seeking a high-impact AI / ML Services Development & Support Engineer to drive the design, development, and sustainment of cutting-edge machine learning solutions in support of critical national security missions. In this role, you won't just write algorithms - you'll be shaping the next generation of intelligence capabilities, from concept and prototyping through operational deployment and long-term sustainment.

You'll collaborate with world-class engineers, mission operators, and government leaders to bring AI / ML from the lab to the field - ensuring our systems remain agile, scalable, and mission-ready at all times. This is an opportunity to blend innovation with purpose, applying your technical expertise where it matters most.

Key Responsibilities

  • Collaborate with stakeholders (government, mission planners, domain experts) to define requirements for AI / ML services.
  • Research, design, develop, test, and deploy AI / ML models across domains (vision, natural language, detection / classification, anomaly detection, etc.).
  • Support model lifecycle management : training, validation, performance monitoring, retraining, tuning, and maintaining model pipelines.
  • Integrate ML services into systems / platforms, including edge / embedded or cloud environments as required.
  • Provide operational support : debugging, performance optimization, resolving issues in deployed services.
  • Maintain technical documentation : architecture, experiment results, version control of models, data flows, definitions of metrics.
  • Conduct risk assessments and apply best practices for AI / ML development : bias, fairness, security, robustness.
  • Assist with tasks such as data preparation, feature engineering, and dataset versioning.
  • Support prototyping efforts and rapid experimentation; stay up to date on state of the art AI / ML techniques, frameworks, tools.
  • Possibly travel for integration events, field tests, or mission engagements.

Required Qualifications

  • Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or related technical field. Master's / PhD preferred.
  • 4-6+ years of experience in AI / ML development, with at least some work in operational / production environments.
  • Experience with ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn, etc.), and deployment / inference pipeline tools.
  • Proficiency in programming (Python, etc.), familiarity with containers / cloud or embedded deployment.
  • Strong understanding of model evaluation metrics, validation, performance testing.
  • Experience with dataset management, feature engineering, handling large, possibly multi-modal datasets.
  • Excellent communication skills - ability to present technical work to non-technical mission customers.
  • U.S. citizenship required; active TS / SCI clearance or ability to obtain.
  • Preferred Qualifications

  • Prior experience working in defense / intelligence / ISR / GEOINT mission environments.
  • Familiarity with edge computing, embedded systems, or constrained compute environments.
  • Experience with natural language processing, computer vision, anomaly detection, or generative models.
  • Experience with DevSecOps, CI / CD pipelines for ML, container orchestration (Kubernetes, etc.).
  • Knowledge of security, privacy, and ethical aspects of AI / ML (secure data handling, model robustness, adversarial awareness).
  • Why JMark

  • Be part of a forward-looking acquisition program advancing AI / ML in mission-critical settings.
  • Work on high-impact, cutting edge technology in support of national security.
  • Opportunities to prototype, experiment, and bring innovation into operational systems.
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