Description:
Primary Place of Performance: Springfield, VA 22151
Travel: Up to 20% CONUS & OCONUS travel
Mandatory Requirements: U.S. Citizenship and TS/SCI Clearance
Years of Experience: 5–10 years

DESCRIPTION

JFL Consulting, LLC looking for an AI/ML Software Engineer to design, develop, test, and build high-performance AI/ML systems, including tailored preprocessing and inference pipelines optimized for NVIDIA Morpheus and comparable platforms. This role requires strong expertise in deep learning frameworks, GPU acceleration, and parallel computing, along with experience in developing neural networks and other machine learning models to solve complex challenges.

EXPERIENCE

• 5+ years of experience in AI/ML software engineering or related fields.
• Experience fine-tuning and deploying large language models (LLMs) such as Llama or Mixtral in production and air-gapped environments, with focus on optimization, integration, and secure operations.
• Strong hands-on experience with deep learning frameworks (PyTorch, TensorFlow, JAX, ONNX).
• Expertise with NVIDIA CUDA and TensorRT for GPU acceleration.
• Proficiency in Python, C/C++, and shell scripting for AI/ML system development.

TECHNICAL SKILLS

• Deep knowledge of machine learning models, neural networks, and clustering algorithms.
• Experience with parallel computing and high-performance frameworks for optimized processing.
• Familiarity with data processing, model training, and scaling solutions across CPU/GPU environments.

PREFERRED EDUCATION, EXPERIENCE, & SKILLS

• Bachelor’s or master’s degree in computer science, Data Science, or a related field.
• Minimum DoD 8140 IAT Level II certification or equivalent highly desired.
• Advanced certifications in AI/ML (e.g., NVIDIA Deep Learning Specialist, AWS Machine Learning).
• Experience with distributed computing platforms and high-performance computing systems.