Logo
Twinn Intelligence Group

Computer (M/L) Engineer

Twinn Intelligence Group, Mc Lean, Virginia, us, 22107


Twinn is seeking a Machine Learning engineer with a passion for Artificial Intelligence and latest technologies in computer science. Can you demonstrate your experience and background knowledge below..

REQUIRED SKILLS

TS/SCI with TOP 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

• 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).