AI/ML Engineer

TWINN is seeking a AI Engineer with machine learning experience to join their team in McLean, Va. Position requires that you are US Citizen and have a clearance level of TS/SCI and top Poly. REQUIRED SKILLS AND DEMONSTRATED EXPERIENCE TS/SCI with POLY • 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. • 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. HIGHLY DESIRED SKILLS AND DEMONSTRATED EXPERIENCE • Demonstrated professional or academic experience with the HuggingFace Transformers library and hub. • Demonstrated experience with cloud computing development and architecture. • Demonstrated experience with front-end web development frameworks such as Flask. • Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (SciKit Learn-) or deep learning models. • Demonstrated experience developing applications for semantic search. • Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards. • Demonstrated academic or professional experience communicating methodological choices and model results. • Demonstrated experience with verification and validation test benches. • Demonstrated experience with Explainable AI (XAI) techniques. • Demonstrated experience with ONNX (Open Neural Net Exchange).