Machine Learning and Python SME

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, phone and 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 employee is required to sit, stand, talk, and hear. 

• Employee is often required to sit and use their hands and fingers to operate a computer. 

• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

Travel: 

• Up to 10%/ Occasional travel. 

Avalore will provide reasonable accommodations to applicants who are unable to utilize our online application system due to a disability. Please send your request to hr@avalore.ai. 

Avalore is an Equal Opportunity Employer - We not discriminate based on age, race, national or ethnic origin, gender, veterans status, disability, sexual orientation, gender identity or any other legally protected class. Applicants have rights under Federal Employment Laws.