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Machine Learning Engineer (TS/SCI w/ Poly) - 1757108
•13 days ago
| Estimated Pay | $60 per hour |
|---|---|
| Hours | Full-time, Part-time |
| Location | McLean, Virginia |
Compare Pay
Estimated Pay We estimate that this job pays $59.89 per hour based on our data.
$34.59
$59.89
$86.72
About this job
Job Description
Job Description
Our client is seeking a Machine Learning Engineer to support a federal agency in McLean, VA.
Candidate MUST possess a TS/SCI clearance with Intel Polygraph
REQUIRED SKILLS AND DEMONSTRATED EXPERIENCE
- Demonstrated experience tuning neural networks, such as LLMs, on custom data sets and applying results to specific use cases.
- Demonstrated 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.
- Demonstrated professional or academic experience using Python or R.
- Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras. (KEY EXPERIENCE FOR CUSTOMER)
- Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
- Demonstrated professional or academic experience with version control systems such as Github and Jenkins.
- Demonstrated experience leveraging GPUs for accelerated computing. (KEY EXPERIENCE FOR CUSTOMER)
HIGHLY DESIRED SKILLS AND DEMONSTRATED EXPERIENCE
- Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
- Demonstrated experience with cloud computing development and architecture.
- Demonstrated experience with front-end web development frameworks such as Flask.
- Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (SciKit Learn-) or deep learning models.
- Demonstrated experience developing applications for semantic search.
- Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.
- Demonstrated academic or professional experience communicating methodological choices and model results.
- Demonstrated experience with verification and validation test benches.
- Demonstrated experience with Explainable AI (XAI) techniques.
- Demonstrated experience with ONNX (Open Neural Net Exchange).
MUST be a US Citizen with a U.S. Government clearance - Intel with Polygraph
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