NLP & ML Specialist - Python SME (Clearance Required)

Avalore, LLC; Chantilly; Vor Ort; EUR 110.000 - 170.000; Vollzeit

Zusammenfassung

Avalore, LLC is seeking a Machine Learning and Python SME to support advanced data analytics, NLP, and ML initiatives for US Government customers. The ideal candidate will develop, evaluate, and optimize ML models using Python, deep learning frameworks, and modern NLP techniques, transforming complex datasets into actionable insights for senior leadership.

Responsibilities include communicating methodological choices and results to leadership, leveraging GPUs, and collaborating with data

Qualifikationen

• Experience performing NLP tasks using Python libraries (SpaCy, Gensim, NLTK) and evaluating model performance.
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Aufgaben

• Support advanced data analytics, NLP, and ML initiatives for US Government customers.
• Develop, evaluate, and optimize ML models in Python with NLP focus.
• Perform advanced statistical analysis on personnel, intelligence, and performance metrics.
• Communicate methodological choices and model results to senior leadership.
• Assist in developing measurement methodologies and presenting data to leadership.
• Collaborate with data engineers and scientists to transform datasets into insights.
• Leverage GPUs for accelerated computing.
• Travel up to 10%.

Kenntnisse

NLP tasks

Python

SpaCy

Gensim

NLTK

Deep learning

PyTorch

TensorFlow

Keras

HuggingFace Transformers

Text classification

Topic modeling

Encoder-decoder models

SQL

Git

Jenkins

GPU acceleration

Tools

SQL

Git

Jenkins

GPUs

Jobbeschreibung

Avalore, LLC is seeking a Machine Learning and Python SME to support advanced data analytics, NLP, and ML initiatives for US Government customers. The ideal candidate will develop, evaluate, and optimize ML models using Python, deep learning frameworks, and modern NLP techniques, transforming complex datasets into actionable insights for senior leadership.

Responsibilities include communicating methodological choices and results to leadership, leveraging GPUs, and collaborating with data