SME level AI/Machine Learning Engineer

Integration Innovation, Inc.
United States
14 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$200,000.0 - $350,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Data Analysis Computer Vision Automation of Tests Microsoft Azure Cloud Computing Cloud Engineering Continuous Integration Information Engineering Data Systems Distributed Computing Environment
+21 more
Distributed Systems Python (Programming Language) Machine Learning Natural Language Processing Scrum Methodology Tensorflow Enterprise Data Management Pytorch Software Security Deep Learning Model Validation Generative AI Data Strategy SC Clearance Containerization Kubernetes Information Technology Data Management Machine Learning Operations Software Coding Devsecops

Job description

Integration Innovation, Inc. (i3) is seeking a motivated SME level AI/Machine Learning Engineer to support the Defense Intelligence Agency (DIA) Enterprise Data Management & Analytics (EDMA) effort. As part of this dynamic program, you will architect enterprise-ready AI/ML solutions and serve as primary technical interface with government stakeholders.

This role is ideal for experienced engineers who can champion responsible-AI and governance principles, ensuring approaches align with IC and DoD directives.

The AI Team is distributed across multiple projects and could have potential for some hybrid work., * Architect enterprise-ready AI/ML solutions, including model-training pipelines, inference services, feature stores, data-ingestion pathways, and MLOps frameworks aligned to requirements.

  • Define the technical roadmap, breaking down complex mission needs into actionable architectures, workstreams, and implementation plans.
  • Lead multi-disciplinary engineering teams, providing direction on algorithms, model selection, data strategy, integration, and delivery cadence.
  • Oversee sprint planning and technical execution, ensuring deliverables are on time, blockers are removed, and engineering artifacts meet enterprise standards.
  • Serve as primary technical interface with government stakeholders, articulating architecture decisions, model behaviors, risk tradeoffs, and recommended solution pathways.
  • Establish and enforce best practices across ML engineering, DevSecOps, coding standards, test automation, and model life-cycle governance.
  • Conduct technical reviews and mentor engineers, elevating team capability and ensuring alignment with mission outcomes.
  • Guide evaluation and adoption of advanced ML tools, including deep-learning frameworks (PyTorch, TensorFlow, JAX), distributed compute, MLOps platforms, generative-AI modernization patterns, and enterprise scale data solutions.
  • Lead integration of AI capabilities into cloud-native or hybrid architectures, ensuring compliance with security, accreditation, and enterprise-data-management requirements.
  • Provide SME-level support for strategic planning, including solution briefs, architecture diagrams, CONOPS development, and decision-ready artifacts for government review panels.
  • Champion responsible-AI and governance principles, ensuring approaches align with IC and DoD directives.

Requirements

  • U.S. Citizenship.
  • Active Secret clearance w/ the ability to obtain and maintain a TS/SCI security clearance.
  • Bachelor’s degree (Master’s preferred) in Computer Science, Engineering, Applied Mathematics, Data Science, or related field.
  • Minimum 14 years of progressive experience in AI/ML, data engineering, or advanced analytics.
  • Demonstrated experience architecting and deploying enterprise AI/ML systems.
  • Deep proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX).
  • Experience leading technical teams, performing architecture trade studies, and guiding full ML lifecycle development.
  • Strong understanding of secure software engineering, distributed systems, DevSecOps, and containerization.
  • Excellent communication skills and ability to interface with senior government stakeholders.

Preferred Qualifications

  • Experience supporting AI/ML projects in government, defense, or intelligence environments.
  • Familiarity with Intelligence Community mission needs and data types.
  • Exposure to cloud-native development (AWS, Azure, GovCloud).
  • Experience building or supporting NLP, computer-vision, generative-AI, or anomaly-detection models.
  • Knowledge of MLOps, CI/CD, container orchestration, or distributed training frameworks.

Benefits & conditions

Pay Range $200,000 - $350,000

The pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, geographic location, and any applicable laws, * Long-term financial security

  • Higher job satisfaction
  • Greater job security
  • Personal and professional growth
  • Great company culture

Other outstanding benefits:

  • Excellent insurance coverage
  • 401(k) match
  • Generous PTO
  • Health and wellness incentives
  • Tuition and certification reimbursement
  • Countless opportunities to give back to the community through i3 Cares

About the company

i3 is a technically diverse, 100% team member owned business, headquartered in Huntsville, Alabama specializing in missile and aviation systems engineering and logistic services, electronic warfare and electromagnetic effects analysis, UAS system integration and flight operations, full lifecycle C5ISR engineering services, cybersecurity and IT/IA innovative solutions and virtual training, simulation & serious game development and implementation. We have established a broad offering of products and capabilities collectively providing decades of experience supporting the full complement of DoD military services, Missile Defense Agency, National Aeronautics and Space Administration, and a variety of other Government organizations and private industry customers.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · WWC 2023

1:15 min

Key lessons learned from implementing automated mobile DevSecOps

Moataz Nabil Moataz Nabil · LIVE

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · WWC Europe 2026

1:34 min

Transitioning from traditional software development to artificial intelligence consulting

Patrick Schnell Patrick Schnell · Coffee With Developers

Videos

See all

Related articles

See all