AI/ML Engineer SME — TS/SCI w/ Poly (On-site, McLean)

GCI

McLean (VA)

Presencial

USD 187.000 - 318.000

Jornada completa

Hace 3 días
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Descripción de la vacante

GCI is seeking an AI/ML Engineer SME (TS/SCI with Poly Required) in McLean, VA. The role emphasizes tuning neural networks, LLMs, and ensemble models, with Python/R, PyTorch/TensorFlow/Keras, SQL, and GPU-accelerated computing. Strong emphasis on evaluation, experiment design, and verification for AI systems.

The candidate must be a US citizen with an active TS/SCI clearance. This full-time, on-site position offers opportunities across data analytics, software development, and cyber operations

Formación

  • 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).
  • Demonstrated 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).
  • Demonstrated professional or academic experience in experiment design and execution to test the performance of LLMs against a benchmark.

Responsabilidades

  • 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).
  • Demonstrated 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).
  • Demonstrated professional or academic experience in experiment design and execution to test the performance of LLMs against a benchmark.

Conocimientos

Neural network tuning
Python/R
DL frameworks
SQL
Version control
GPU computing
Model evaluation
Experiment design

Educación

BA/BS or better

Herramientas

Github
Jenkins

Descripción del empleo

GCI is seeking an AI/ML Engineer SME (TS/SCI with Poly Required) in McLean, VA. The role emphasizes tuning neural networks, LLMs, and ensemble models, with Python/R, PyTorch/TensorFlow/Keras, SQL, and GPU-accelerated computing. Strong emphasis on evaluation, experiment design, and verification for AI systems.

The candidate must be a US citizen with an active TS/SCI clearance. This full-time, on-site position offers opportunities across data analytics, software development, and cyber operations

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