Job Requirements
McLean, VA
Top Secret/SCI Full Scope Polygraph
Senior Level Career (10+ yrs experience)
Salary not specified
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Job Description
GRAY WOLF SOLUTIONS
MACHINE LEARNING ENGINEER
McLean, VA area
Active TS/SCI and FS poly required
REQUIRED SKILLS, DEMONSTRATED EXPERIENCE, CERTIFICATIONS:
• Professional or academic experience in testing, evaluating, or validating the performance of
AI systems with a focus on LLM-based systems. (KEY EXPERIENCE FOR CUSTOMER)
• Professional or academic experience in experiment design and execution to test the
performance of LLMs against a benchmark. (KEY EXPERIENCE FOR CUSTOMER)
• Leveraging GPUs for accelerated computing. (KEY EXPERIENCE FOR CUSTOMER)
• Professional or academic experience with deep learning frameworks such as PyTorch,
Tensorflow, or Keras. (KEY EXPERIENCE FOR CUSTOMER)
• 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 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, Jenkins.
HIGHLY DESIRED SKILLS AND DEMONSTRATED EXPERIENCE
• HuggingFace Transformers library and hub.
• Development of benchmarks to measure LLM performance
• Cloud computing development and architecture.
• 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.
• Tableau to produce visualizations and dashboards.
• Communicating methodological choices and model results.
• Verification and validation test benches.
• Explainable AI (XAI) techniques.
• Open Neural Net Exchange (ONNX)
MACHINE LEARNING ENGINEER
McLean, VA area
Active TS/SCI and FS poly required
REQUIRED SKILLS, DEMONSTRATED EXPERIENCE, CERTIFICATIONS:
• Professional or academic experience in testing, evaluating, or validating the performance of
AI systems with a focus on LLM-based systems. (KEY EXPERIENCE FOR CUSTOMER)
• Professional or academic experience in experiment design and execution to test the
performance of LLMs against a benchmark. (KEY EXPERIENCE FOR CUSTOMER)
• Leveraging GPUs for accelerated computing. (KEY EXPERIENCE FOR CUSTOMER)
• Professional or academic experience with deep learning frameworks such as PyTorch,
Tensorflow, or Keras. (KEY EXPERIENCE FOR CUSTOMER)
• 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 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, Jenkins.
HIGHLY DESIRED SKILLS AND DEMONSTRATED EXPERIENCE
• HuggingFace Transformers library and hub.
• Development of benchmarks to measure LLM performance
• Cloud computing development and architecture.
• 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.
• Tableau to produce visualizations and dashboards.
• Communicating methodological choices and model results.
• Verification and validation test benches.
• Explainable AI (XAI) techniques.
• Open Neural Net Exchange (ONNX)
group id: 90925634