LLM AI Engineer — Fine-Tune, Benchmark & Deploy

VTG; McLean (VA); On-site; USD 180,000 - 230,000; Full time

Job summary

VTG is seeking a Machine Learning Engineer SME to design, develop, and deploy advanced AI/ML solutions, focusing on Large Language Models. You will build pipelines, fine-tune models, and benchmark performance, working with PyTorch, TensorFlow, and Hugging Face in a GPU-accelerated environment.

You will collaborate with cross-functional teams to translate requirements into AI-enabled applications, including semantic search and NLP capabilities, and communicate insights via dashboards and

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or related technical field (Master’s or Ph.D. preferred).
• Proficiency in Python and/or R for ML and data analytics.
• Experience with DL frameworks: PyTorch, TensorFlow, Keras.
• Strong SQL expertise with CTEs, set operations, aggregates, and nested queries.
• Experience with GitHub and Jenkins for version control and CI/CD.
• Gained experience using GPUs/HPC for AI/ML workloads.
• Hands-on testing, validation, and evaluation of AI/LLM systems.
• Ability to design/execute experiments to benchmark model performance.

Responsibilities

• Design, develop, fine-tune, and optimize ML/DL models including LLMs for mission-focused use cases.
• Develop AI/ML pipelines: data prep, feature engineering, model training, evaluation.
• Benchmark, test, validate, and experiment to assess AI system reliability, esp. LLMs.
• Build and evaluate ensembles; identify optimal algorithms and libraries.
• Leverage GPU-accelerated environments to improve training and inference.
• Develop apps supporting semantic search, information retrieval, NLP capabilities.
• Collaborate with cross-functional teams to translate requirements into AI solutions.
• Create visualizations, dashboards, and reporting of model performance.

Skills

Python

R

Deep learning

LLMs

NLP

Education

Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or related field

Master's or Ph.D. preferred

Tools

PyTorch

TensorFlow

Keras

GitHub

Jenkins

Flask

Hugging Face

Job description

VTG is seeking a Machine Learning Engineer SME to design, develop, and deploy advanced AI/ML solutions, focusing on Large Language Models. You will build pipelines, fine-tune models, and benchmark performance, working with PyTorch, TensorFlow, and Hugging Face in a GPU-accelerated environment.

You will collaborate with cross-functional teams to translate requirements into AI-enabled applications, including semantic search and NLP capabilities, and communicate insights via dashboards and