Cleared AI/ML Engineer (Multiple Levels)

  • Chantilly, VA
  • Posted 19 hours ago | Updated 7 hours ago

Overview

On Site
USD 88,500.00 - 138,300.00 per year
Full Time

Skills

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
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
Google Cloud Platform
Microsoft Azure
ESI
Management
Military
Law
Finance
Professional Development
SAP BASIS
Security Clearance

Job Details

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.

#nowhiring

Overview

Noblis and our wholly owned subsidiaries, Noblis ESI, and Noblis MSD tackle the nation's toughest problems and apply advanced solutions to our clients' most critical missions. We bring the best of scientific thought, management, and engineering expertise together in an environment of independence and objectivity to deliver enduring impact on federal missions. Noblis works with a wide range of government clients in the defense, intelligence and federal civil sectors. Learn more at Noblis -About Us

Why work at a Noblis company?

Our employees find greater meaning in their work and balance the other things in life that matter to them. Our people are our greatest asset. They are exceptionally skilled, knowledgeable, team-oriented, and mission-driven individuals who want to do work that matters and benefits the public. Noblis has won numerous workplace awards. Noblis maintains a drug-free workplace.

*Remote/hybrid status is subject to change based on Noblis and/or government requirements

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law.

If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us.

EEO is the Law | E-Verify | Right to Work

Total Rewards

At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site.

Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis' total compensation package.

Posted Salary Range

USD $88,500.00 - USD $245,175.00 /Yr.
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.