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Cleared AI/ML Engineer (Multiple Levels)

Chantilly, VA, US • Posted 6 hours ago • Updated 6 hours ago

Full Time

On-site

USD $88,500.00 - 138,300.00 per year

Fitment

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Job Details

Skills

Military
FOCUS
Art
Open Source
SEO
Video
Computer Science
Statistics
Data Analysis
Computer Engineering
Mathematics
Data Science
IC
Internal Communications
Integrated Circuit
Prompt Engineering
Writing
Debugging
Artificial Intelligence
Software Development
Scalability
Clustering
Regression Analysis
Linux
Microsoft Windows
Management
Python
Autogen
PyTorch
TensorFlow
Keras
scikit-learn
CUDA
GPU
Microsoft Certified Professional
Workflow
Computer Hardware
Optimization
Machine Learning (ML)
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure

Summary

Job Description

ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps.

Responsibilities

Noblis is seeking to hire an AI/ML Engineer (Multiple Levels) with an ACTIVE Top
Secret with SCI and Polygraph in Chantilly, VA

As an experienced AI/ML Engineer with our team, you will be working with our federal clients to rapidly develop innovative solutions for our clients' immediate mission challenges with a focus on developing ML models. In your role, you will work on teams with other data scientists, software developers, and SMEs to apply the best practices and state of the art data science and machine learning processes. In this position, you will develop rapid prototype solutions to mission challenges by leveraging existing open-source models and technologies. Sample topic areas may include object detection, data triage, search/optimization, image/video analysis, facial recognition, behavior detection, and automated discovery.

Required Qualifications

Required Skills:

All degrees must be in a STEM field such as computer science, statistics, data analytics, computer engineering, mathematics, etc.
Experience working professionally in a Data Science or Development environment within the IC space(s).
Experience developing and using agentic AI frameworks including Autogen.
Experience with prompt engineering beyond traditional code writing and debugging. Understanding of how to craft prompts for discrete tasks such as data labeling and processing.
Experience with asynchronous Python development using frameworks like Ray and FastAPI.
Experience developing and deploying AI/ML models as part of production systems, implementing software development best practices for scalability and reliability.
Experience developing and applying advanced machine learning methods including clustering, regression, optimization, recommender engines, and artificial neural networks.
Deploying models into multi-node Ray clusters utilizing various GPU resources.
Experience with developing and deploying resources to cloud environments.
Experience working in Linux and Windows environments and managing resources for efficiency.
ACTIVE Top Secret with SCI and Polygraph
Required Technologies:

- Python
- Ray and FastAPI
- Autogen and other agentic frameworks
- PyTorch, Tensorflow, Keras, and Scikit
- Experience using CUDA and NVIDIA GPU accelerated libraries

Entry Level:
- Bachelor's degree and 1+ year of experience or Master's degree and 0 years of experience.
- Compensation range: $88,500 - $138,300
Junior Level:
- Bachelor's degree and 3+ years of experience or Master's degree and 1 year of experience.
- Compensation range: $107,100 - $167,325
Mid Level:
- Bachelor's degree and 5+ years of experience or Master's degree and 3 years of experience.
- Compensation range: $129,700 - $202,675
Senior Level:
- Bachelor's degree and 8+ years of experience or Master's degree and 5 years of experience.
- Compensation range: $156,900 - $245,175

Desired Qualifications

Desired skills and knowledge:

Understanding of MCP Tool calling and its use as part of an agentic workflow.
The engineer has familiarity with industry best practices for software/hardware optimization specifically related to running ML models of GPUs.
Experience working with cloud providers such as Amazon Web Services (AWS), Google Cloud Platform (Google Cloud Platform), and Microsoft Azure.

Certificates/Security Clearances/Other

ACTIVE Top Secret with SCI and Polygraph

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX170b99
Position Id: 3007432eb8cfbea9f3e0ec8f36d11737
Posted 6 hours ago

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