Cleared AI/ML Engineer (Multiple Levels)
Actively Hiring
Full-time $109k - $207k Posted 5 months ago
Role overview
- check_circle Remote/hybrid status is subject to change based on Noblis and/or government requirements
Responsibilities
- check_circle Develop Innovative solutions with a focus on ML models
- check_circle Apply the best practices and state of the art data science and machine learning processes.
- check_circle Translate business or product requirements into ML solutions
- check_circle Design and implement feature engineering pipelines
- check_circle Deploy models into multe-node Ray clusters
- check_circle 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
Fulltime Remote Ai Engineer Machine Learning Data Science Computer Vision Ai
About Noblis
Policy Analysis - Analyze AI-related federal policy, directives, and legislation to determine impacts and implications on AI maturity development. Maturity Assessment - Evaluate the status quo for AI adoption and development frameworks to measure and advance AI maturity across the agency. Infrastructure Monitoring - Monitor the AI infrastructure landscape and assess implications for agency operations and strategic planning. Strategic Road Mapping - Contribute to road mapping efforts that r...