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# TTG-383 - Machine Learning Engineer - $263,750 Total Compensatio

- **Company:** TTG Solutions Inc.
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Salary:** $158,000.0 - $191,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, Cloud Computing, Data Transformation, Database Queries, Github, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Search Technologies, Verification and Validation (Software), Tableau (Software), Web Application Frameworks, Explainable AI (XAI), Pytorch, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Deep Learning, Topic Modeling, Generative AI, Keras, ONNX (Open Neural Network Exchange) Format, HuggingFace, Document Classification, Software Version Control, Jenkins
- **Published:** October 31, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9280609/ttg-383-machine-learning-engineer-263750-total-compensatio

## About the Role

Senior Requires a minimum of six (6) years of experience specific to the skill., * RAG testing experience

 * Design and evaluation of Retrieval-Augmented Generation pipelines for LLM-based workflows
 * Tuning neural networks/LLMs on custom data sets
 * Professional or academic experience developing AI/ML models and ensembles
 * Selecting Python libraries
 * Choosing preprocessing actions
 * Performing analysis
 * Python or R
 * Deep learning frameworks such as PyTorch, TensorFlow, or Keras
 * SQL proficiency including common table expressions, set operations, aggregate functions, and nested subqueries
 * Version control systems/tools such as GitHub and Jenkins
 * GPU-accelerated computing
 * Testing, evaluating, or validating AI system performance focused on LLM-based systems
 * Experiment design and execution to test LLM performance against benchmarks, * Hugging Face Transformers library and hub
 * Developing benchmarks to measure LLM performance
 * Cloud computing development and architecture
 * Web development frameworks such as Flask
 * Python text classification and topic modeling using scikit-learn or deep learning models
 * Semantic search applications
 * Tableau visualizations and dashboards
 * Communicating methodological choices and model results
 * Verification and validation test benches
 * Explainable AI (XAI) techniques
 * ONNX (Open Neural Network Exchange)

## Description

TTG Solutions is seeking an experienced AI/ML Engineer to develop and optimize AI/ML models and LLM-based systems tailored for specific use cases. The ideal candidate will design and evaluate Retrieval-Augmented Generation (RAG) pipelines and perform benchmark-based experiments to ensure optimal model performance., The AI/ML Engineer will be responsible for developing, tuning, testing, and evaluating AI/ML models and LLM-based systems. This includes designing and assessing RAG pipelines to enhance context retrieval and improve LLM generation quality. The role involves executing benchmark-based experiments, assessing model performance, and leveraging deep learning frameworks and GPU-accelerated computing to achieve superior results.