Machine Learning and Python SME

Avalore, LLC; Chantilly; On-site; EUR 110,000 - 170,000; Full time

Job summary

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

Qualifications

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

• 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%.

Skills

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

Job description

Avalore, LLC is seeking a Machine Learning and Python Subject Matter Expert (SME) to support advanced data analytics, natural language processing (NLP), and machine learning initiatives for US Government customers. The ideal candidate will have demonstrated experience developing, evaluating, and optimizing machine learning models using Python, deep learning frameworks, and modern NLP techniques. This role will leverage advanced statistical analysis, data engineering, and performance measurement methodologies to transform complex datasets into actionable insights, support data-driven decision-making, and communicate technical findings and recommendations to senior leadership.

• Active Security Clearance with appropriate Polygraph
• Demonstrated professional or academic experience performing NLP tasks, 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 NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents.
• Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras
• Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
• 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 academic or professional experience using encoder-decoder and generative language models to perform NLP tasks.
• Demonstrated academic or professional experience communicating methodological choices and model results.
• 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.
• Develop practical approaches for measuring performance.
• Assist in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.
• Conduct advanced statistical analysis on personnel, intelligence, and performance metrics.
• Assist in selection or development of appropriate methodology to conduct research.
• Analyze information and provide research findings in a manner that is easily grasped by the customer and consumers.

Desired:

• Demonstrated experience writing Python scripts that pull data from web-based APIs and relational databases.
• Demonstrated experience with cloud computing development and architecture
• Demonstrated experience with front-end web development frameworks such as Flask.
• Demonstrated experience developing applications for semantic search.
• Demonstrated experience tuning LLMs on custom data sets and applying results to specific use cases.
• Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.

Work Environment:

• Moderate noise (i.e.business office with computers,phoneand printers) and /or occasional Loud noise (airfield, large equipment).
• Ability to sit at a computer terminal for an extended period of time.

Physical Demands:

• While performing the responsibilities of the job, the employeeis required tosit, stand, talk, andhear.
• Employee isoften required to sit and use their hands and fingers tooperatea computer.
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Travel:

• Up to 10%/ Occasionaltravel.

Avalore will provide reasonable accommodations to applicants who are unable toutilizeour online application system due to a disability.

Avalore is an Equal Opportunity Employer - Wenot discriminatebased on age, race, national or ethnic origin, gender,veteransstatus, disability, sexual orientation, gender identity or any other legally protected class. Applicants have rights under Federal Employment Laws.

Eligibility requirements apply.

• Employer Contributions to Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA) with a generous matching program
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Short Term & Long Term Disability
• Training & Development
• Employee Assistance Program
• Salary at Avalore is determined by various factors, including but not limited to location, the individual's particular combinaition of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.