In PersonLocal travel within the place of performance may be required as needed.
AI & Machine LearningNatural Language Processing & LLMs
No H1B Sponsorship
US Citizenship, US Top Secret Clearance Required
About the job
Requirements
Must be a U.S. citizen.
Must have an existing active Top Secret SCI clearance with polygraph.
A bachelor's degree is required.
Expert-level experience is required.
Demonstrated experience tuning neural networks, such as large language models, on custom data sets and applying results to specific use cases.
Demonstrated professional or academic experience using Python or R.
Demonstrated professional or academic experience developing models and ensembles in the artificial intelligence and machine learning space, including selecting appropriate Python libraries, choosing preprocessing actions, performing analysis, and assessing model performance.
Demonstrated professional or academic experience testing, evaluating, or validating the performance of artificial intelligence systems, particularly large-language-model-based systems.
Demonstrated professional or academic experience designing and executing experiments to test the performance of large language models against a benchmark.
Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
Demonstrated professional or academic experience and proficiency with Structured Query Language, including common table expressions, set operations, aggregate functions, and nested subqueries.
Demonstrated experience leveraging graphics processing units for accelerated computing.
Demonstrated professional or academic experience with version control systems such as GitHub and Jenkins.
Responsibilities
Leverage open-source models to create reusable models through fine-tuning, transfer learning, and other methods, and create ensembles for classification; supervised learning such as convolutional neural networks, U-Net, or YOLO; unsupervised learning such as DBSCAN, k-nearest neighbors, or AdaBoost; prediction; predictors such as long short-term memory networks or UConv; regressors such as Bayesian or linear models; sensor-level and entity-level fusion; decision-making including task assignments, combinatorial and parametric optimization, reinforcement learning, and path planning; and generative models including large language models and stackable large language models.
Apply machine learning, artificial intelligence, and deep learning frameworks such as TensorFlow and PyTorch to text classification, natural language processing, topic and language modeling, sentiment analysis, information retrieval, recommender systems and personalization, threat detection, computer vision, data mining, and statistics.
Analyze large amounts of raw data, including text data, to determine its utility for training or testing artificial intelligence models.
Preprocess or clean structured and unstructured Sponsor data, including text data.
Design and implement advanced extract, transform, and load code and table configurations for complex data sets.
Use Structured Query Language to develop and organize relevant information.
Cooperate with a team, author analytic publications, produce ad hoc reports with data visualizations using the Sponsor’s templates, and document methods in GitHub.
Implement the Sponsor’s existing coordination process.
Provide technical education to staff on an ad hoc basis.
Provide subject matter expertise in artificial intelligence and machine learning to support the Sponsor’s initiatives.
Desired Qualifications
Demonstrated professional or academic experience with the Hugging Face 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 for text classification and topic modeling in Python using standard machine learning libraries such as 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 artificial intelligence techniques.
Demonstrated experience with Open Neural Network Exchange.
20231112-2219--01-01
Active Top Secret Clearance with Poly Required
Salary Range: Up to $190K **salary is commensurate with education and experience**
Job Summary
The Sponsor seeks to develop and adapt Large Language Models (LLM) and Natural Language Processing (NLP) methodologies using artificial intelligence and machine learning (AI/ML) frameworks and programming languages to create new capabilities to improve analytic workflows and address key intelligence questions. The Sponsor needs experienced AI/ML engineering skills to build tools and analytics that use the Sponsor’s structured and unstructured data to yield novel analytic insights, accelerate workflows, enable analysts to surface relevant information from massive data stores. The work will be performed within a team environment.
**Please note: This job requires an existing Top Secret Clearance and Polygraph**
Responsibilities and Duties
Leverage open source best-in-class models to create new models—through fine tuning, transfer learning, and more— and ensembles that can be re-purposed and reused, covering the following domains:
Classification
Supervised (CNN, Unet, YOLO, or similar)
Unsupervised (DBSCAN, K-Nearest, Adaboost, or similar)
Prediction
Predictors (LSTM, UConv, or similar)
Regressors (Bayesian, linear, or similar)
Fusion (sensor level and entity level)
Decision making (Task assignments, combinational and parametric optimizations, Reinforcement Learning, Path Planning, or similar)
Generative (LLMs, Stackable LLMs, or similar)
Machine Learning, AI, Deep Learning (TensorFlow, PyTorch), Text, (Classification, NLP, Topic and Language Modeling, Sentiment Analysis, Information Retrieval), Recommender Systems and Personalization, Threat Detection, Computer Vision, Data Mining, Statistics, or similar.
Analyze large amounts of raw data, including text data, to determine utility for training or testing AI models.
Preprocess or clean structured and unstructured Sponsor data, including text data.
Design and implement advanced ETL code and table configurations for complex data sets.
Use Structured Query Language (SQL) to develop and organize relevant information.
Cooperation with a team, author analytic publications and produce ad-hoc reports to include data visualizations using the Sponsor’s templates, and document methods in Github.
Implement the Sponsor’s existing coordination process.
Provide technical education to staff on an ad-hoc basis.
Provide subject matter expertise in AI/ML to support Sponsor’s initiatives.
Experience Needed:
Citizenship:Must Be a US Citizen
Existing Clearance Required:Active Top Secret SCI with Poly
Minimum Bachelor's Degree required
Expert level experience required
Demonstrated experience tuning neural networks, such as LLMs, on custom data sets and applying results to specific use cases.
Demonstrated professional or academic experience using Python or R.
(KEY) 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.
(KEY) Demonstrated professional experience or academic experience in testing, evaluating, or validating the performance of AI systems (with a focus on LLM-based systems)
(KEY) Demonstrated professional or academic experience in experiment design and execution to test the performance of LLMs against a benchmark
(KEY) Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras.
(KEY) Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
(KEY) Demonstrated experience leveraging GPUs for accelerated computing.
Demonstrated professional or academic experience with version control systems such as Github and Jenkins.
Other skills and demonstrated experiences that are highly desired but not required to perform the work include:
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).
Travel is anticipated for this position:
☒ Local travel/POV will be on an as needed basis, within the local place of performance.
Health Benefits
Work/Life Balance
Financial Opportunities
Medical, Dental, Vision, Health Savings Account and more.
Paid Time Off, Holidays, Social Events, Employee Assistance Program and Team Building
401K, Tuition Assistance, Annual and Referral Bonuses
Dezign Concepts provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.