Machine Learning Engineer
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Summary
SME-level Machine Learning Engineer developing, tuning, validating, and deploying ML and LLM solutions (including RAG testing) for a cleared government engagement, working full-time onsite in Northern Virginia. Core stack: PyTorch/TensorFlow/Keras, Python/R, SQL, and GPU-accelerated computing. Active TS/SCI with Full Scope Polygraph required.
REQUIRED: Active TS/SCI with Full Scope Polygraph
LOCATION: Full-time onsite in Northern Virginia
LEVEL: SME
We are seeking an experienced Machine Learning Engineer to support the development, tuning, validation, and deployment of advanced machine learning and Large Language Model (LLM) solutions. The ideal candidate will possess hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras, expertise in experimental design and model evaluation, and the ability to leverage GPU-based computing environments to optimize performance. Must have RAG testing experience.
Who We Are:
We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management.
Passionate Integrity, Driven by Excellence
We provide more than a position—we offer a workplace committed to excellence, integrity, and mission‑focused impact. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients.
Join us as we continue building the future of secure, high‑impact solutions.
LOCATION: Full-time onsite in Northern Virginia
LEVEL: SME
We are seeking an experienced Machine Learning Engineer to support the development, tuning, validation, and deployment of advanced machine learning and Large Language Model (LLM) solutions. The ideal candidate will possess hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras, expertise in experimental design and model evaluation, and the ability to leverage GPU-based computing environments to optimize performance. Must have RAG testing experience.
Who We Are:
We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management.
Passionate Integrity, Driven by Excellence
We provide more than a position—we offer a workplace committed to excellence, integrity, and mission‑focused impact. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients.
Join us as we continue building the future of secure, high‑impact solutions.
In this challenging yet rewarding role, you are an integral part of what brings our Company's mission to life. You must have the following required skills, certifications and demonstrated experience in and/or with:
- Tuning neural networks, such as LLMs, on custom data sets and applying results to specific use cases.
- Professional or academic experience developing models and ensembles in the AI/ML space, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance.
- Professional or academic experience using Python or R.
- Professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras. (Key experience)
- Professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
- Professional or academic experience with version control systems such as Github and Jenkins.
- Leveraging GPUs for accelerated computing. (Key experience)
- Professional experience or academic experience in testing, evaluating, or validating the performance of AI systems (with a focus on LLM-based systems. (Key experience)
- Professional or academic experience in experiment design and execution to test the performance of LLMs against a benchmark. (Key experience)
Must have RAG testing experience
Other skills, demonstrated experiences and certifications which are highly desired but not mandatory to perform the work, include:
- Professional or academic experience with the HuggingFace Transformers library and hub.
- Professional or academic experience in the development of benchmarks to measure LLM performance. (Key experience)
- Cloud computing development and architecture.
- Working with front-end web development frameworks such as Flask.
- Creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (SciKit Learn-) or deep learning models.
- Developing applications for semantic search.
- Professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.
- Academic or professional experience communicating methodological choices and model results
- Working with verification and validation test benches.
- Working with Explainable AI (XAI) techniques.
- Working with ONNX (Open Neural Net Exchange).
SCHEDULE:
This is a full-time position with consultants expected to be available and working onsite in Northern Virginia during core hours.
Ready to take the next step in your career? Join us and be part of a team dedicated to driving positive change through technology. Apply now with our easy 3-minute, mobile-friendly initial application process. Your future starts here!