Cleared AIML Engineer (Multiple Levels)

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Responsibilities

Noblis is seeking to hire an AI/ML Engineer (MultipleLevels) 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 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 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:
  • Bachelors degree and 1 year of experience or Masters degree and 0 years of experience.
  • Compensation range: $88500 - $138300
• Junior Level:
  • Bachelors degree and 3 years of experience or Masters degree and 1 year ofexperience.
  • Compensation range: $107100 - $167325
• Mid Level:
  • Bachelors degree and 5 years of experience or Masters degree and 3 years of experience.
  • Compensation range: $129700 - $202675
• Senior Level:
  • Bachelors degree and 8 years of experience or Masters degree and 5 years ofexperience.
  • Compensation range: $156900 - $245175

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 (GCP) and Microsoft Azure.