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Noblis
AI

Cleared AI/ML Engineer (Multiple Levels)

Noblis · Chantilly, VA, US · $109k - $207k

Actively hiring Posted 3 months ago

Role overview

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

Responsibilities

  • Develop Innovative solutions with a focus on ML models
  • Apply the best practices and state of the art data science and machine learning processes.
  • Translate business or product requirements into ML solutions
  • Design and implement feature engineering pipelines
  • Deploy models into multe-node Ray clusters
  • Work with large datasets and support Linux and Windows environment

Basic qualifications

  • US Citizenship is required
  • Active TS/SCI with Polygraph
  • 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.
  • Experience or knowledge of:
  • + Python Ray and FastAPI Autogen and other agentic frameworks PyTorch, Tensorflow, Keras, and Scikit Experience using CUDA and NVIDIA GPU accelerated libraries
  • Ray and FastAPI
  • Autogen and other agentic frameworks
  • PyTorch, Tensorflow, Keras, and Scikit
  • Experience using CUDA and NVIDIA GPU accelerated libraries
  • Mid Level Bachelor's degree OR Master's degree with 3 - 5 years of experience OR Associate degree with 6-8 years OR High School 9-11years. Compensation range: $109,800 - $171,525
  • Bachelor's degree OR Master's degree with 3 - 5 years of experience OR Associate degree with 6-8 years OR High School 9-11years.
  • Compensation range: $109,800 - $171,525
  • Senior Level: Bachelor's degree OR Master's degree with 5 - 8 years of experience OR Associate degree with 8+ years OR High School 11+ years. Compensation range: $132,900 - $207,050
  • Bachelor's degree OR Master's degree with 5 - 8 years of experience OR Associate degree with 8+ years OR High School 11+ years.
  • Compensation range: $132,900 - $207,050
  • 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.
  • STEM degree in computer science, statistics, data analytics, computer engineering, mathematics, etc.

Tags & focus areas

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Fulltime Remote Ai Engineer Machine Learning Data Science Computer Vision Ai
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