AI/ML ENGINEER (TS/SCI CLEARANCE REQUIRED)

NorthHill Technology Resources LLC; Springfield (VA); On-site; USD 140,000 - 180,000; Full time

Job summary

NorthHill Technology Resources LLC in Springfield, VA is seeking an AI/ML Engineer (TS/SCI) to support a federal program. You will apply advanced AI and ML methods to complex operational challenges, collaborating with software teams and mission users to design and deploy capabilities for remote sensing needs.

The role emphasizes real-time data processing, sensor fusion, and GEOINT workflows, with a focus on object tracking and identification.

Qualifications

• 4+ years delivering AI/ML solutions for object identification and classification.
• 4+ years of Python coding for AI/ML solutions.
• Experience applying AI/ML to tracking, sensor fusion, or GEOINT data workflows.
• Familiarity with real-time or near-real-time data processing for multi-sensor systems.
• Experience with remote sensing image processing, data exploitation, and algorithm development.
• Experience with software configuration management using Git.
• Ability to execute machine learning models in a Linux environment.
• Active TS/SCI clearance; willingness to take a polygraph exam.
• Bachelor's degree with 4 years of experience (mid) or 10+ years (senior).

Responsibilities

• Apply advanced AI/ML methods to complex operational challenges.
• Design and deploy AI/ML capabilities with software teams and mission users.
• Test and implement AI/ML concepts within data-rich environments.
• Support operators relying on intelligent systems to scale mission effectiveness.
• Guide stakeholders in selecting effective algorithms, tools, and frameworks.
• Focus on multi-sensor data fusion and GEOINT workflows.

Skills

AI/ML solutions

Python for AI/ML

Tracking / Sensor fusion

Real-time data processing

Remote sensing image processing

Education

Bachelor's degree

Tools

Git

AWS

Linux

Job description

AI/ML ENGINEER (TS/SCI CLEARANCE REQUIRED)

• Springfield, VA
• Information Technology

NorthHill Technology Resources has a needs for AI/ML Engineers to support a Federal Program in Springfield, VA. These are direct-hire roles with our client, a fast-growing Federal Integrator. Due to the nature of the work, an active TS/SCI Clearance is required.

In this role, you’ll help shape the strategic direction of high-impact solutions by applying advanced AI and ML methods to complex operational challenges. As part of a broad network of AI/ML engineers, you’ll work closely with software teams and mission users to design and deploy innovative capabilities that address critical remote sensing needs. You’ll play a key role in testing and implementing AI and ML concepts within a demanding, data-rich environment, supporting operators who rely on intelligent systems to scale mission effectiveness. Your technical depth and expertise will help guide stakeholders in selecting and applying the most effective algorithms, tools, and frameworks to solve real-world problems.

This project is focused on accelerating the fusion of multi-sensor detections into persistent, time-critical object tracks. Your work will help enable rapid, reliable decision-making in operational environments by integrating AI/ML with GEOINT and sensor fusion frameworks. It is beneficial to have a strong understanding of OPIR image processing or expertise in missile systems, remote sensing, and sensor fusion.

Must-Have Requirements:

• 4+ years of experience delivering AI/ML based solutions for object identification and classification
• 4+ years of experience with Python coding, and Python coding for AI/ML solutions
• Experience applying AI/ML to tracking, sensor fusion, or GEOINT data workflows
• Familiarity with real-time or near-real-time data processing for multi-sensor systems
• Experience with remote sensing image processing, data exploitation, and algorithm development
• Experience with software configuration management using Git
• Ability to execute machine learning models in a Linux environment
• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor's degree & 4 years of experience (for mid level) or Bacehlors degree &10 years of experience (for senior level)

Nice If You Have:

• Experience with AWS
• Knowledge sensor capabilities
• Background in multi-sensor data association, track correlation, or persistent surveillance analytics
• Ability to work with limited guidance and clear direction
• Possession of excellent verbal and written communication skills, with peers and clients