Role overview
- Remote/hybrid status is subject to change based on Noblis and/or government requirements
Responsibilities
- Advise the government customer on innovative solutions with a focus on ML models.
- Directly support the government , monitoring and verifying that the developer applies best practices and state-of-the-art data science and machine learning processes.
- Assist the government in developing business or product requirements for specific missions.
- Advise the government in the development of business or product requirements for specific missions.
- Advise the government in the developer's translation of business or product requirements into ML solutions.
- Review the developer's design and implementation of feature engineering pipelines.
- Review and advise the government on the developer's deployment of models into multi-node Ray clusters.
- Work with large datasets and support a Linux and Windows environment.
Basic qualifications
- Active Top Secret/SCI clearance with Counterintelligence (CI) Polygraph.
- US Citizenship is required.
- Bachelor's degree OR Master's degree with 5-8 years of experience OR Associates degree with 8+ years of experience OR High School diploma with 11+ years of experience.
- Experience working professional in a Data Science or development environment within the Intelligence Community (IC).
- 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 within 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 NVDIA GPU accelerated libraries
- Python
- Ray and FastAPI
- Autogen and other agentic frameworks
- PyTorch, Tensorflow, Keras, and Scikit
- Experience using CUDA and NVDIA GPU accelerated libraries
- Understanding of MCP Tool calling and its use as part of an agentic workflow.
- 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
Used for matching and alerts on DevFound Fulltime Remote Ai Engineer Machine Learning Data Science Ai