AI/ML Engineer SME (TS/SCI with Poly Required)

GCI Careers • McLean, VA

1d

About The Position

GCI is hiring an AI/ML Engineer SME to support customer mission requirements. The role focuses on developing, tuning, testing, and evaluating AI/ML models and LLM-based systems. The engineer will work with custom datasets and use cases, select appropriate Python libraries and preprocessing methods, analyze results, assess model performance, and design and execute experiments against benchmarks. The position also involves using deep learning frameworks, GPU-accelerated computing, SQL, and version control systems. Candidates must be U.S. citizens and hold an active/current TS/SCI with Polygraph clearance.

Requirements

• U.S. citizenship.
• Active/current TS/SCI with Polygraph clearance.
• Professional or academic experience tuning neural networks such as LLMs on custom datasets.
• Professional or academic experience developing AI/ML models and ensembles, selecting Python libraries, preprocessing data, analyzing results, 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.
• Professional or academic proficiency with SQL, including common table expressions, set operations, aggregate functions, and nested subqueries.
• Professional or academic experience with version control systems such as GitHub and Jenkins.
• Experience leveraging GPUs for accelerated computing.
• Professional or academic experience testing, evaluating, or validating AI systems, especially LLM-based systems.
• Professional or academic experience designing and executing experiments to test LLM performance against a benchmark.

Nice To Haves

• Professional or academic experience with the Hugging Face Transformers library and hub.
• Professional or academic experience developing benchmarks to measure LLM performance.
• Experience with cloud computing development and architecture.
• Experience with front-end web development frameworks such as Flask.
• Experience creating text classification and topic modeling machine learning models in Python using scikit-learn or deep learning models.
• Experience developing semantic search applications.
• Professional or academic proficiency with Tableau for producing visualizations and dashboards.
• Academic or professional experience communicating methodological choices and model results.
• Experience with verification and validation test benches.
• Experience with Explainable AI (XAI) techniques.
• Experience with ONNX (Open Neural Network Exchange).

Responsibilities

• Tune neural networks, including LLMs, on custom datasets and apply results to specific use cases.
• Develop AI/ML models and ensembles, selecting suitable libraries and preprocessing approaches, analyzing data, and assessing model performance.
• Test, evaluate, or validate AI systems, particularly LLM-based systems.
• Design and execute experiments to test LLM performance against benchmarks.
• Develop benchmarks to measure LLM performance.
• Create machine learning models for text classification and topic modeling.
• Develop applications for semantic search.
• Communicate methodological choices and model results.
• Use verification and validation test benches.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed