This engineering role focuses on developing and adapting Large Language Models (LLM) and Natural Language Processing (NLP) methodologies using artificial intelligence and machine learning (AI/ML) frameworks and programming languages. The work aims to create new capabilities to improve analytic workflows and address key intelligence questions, building tools and analytics from structured and unstructured data to yield novel analytic insights and accelerate workflows. The work will be performed within a team environment.
Responsibilities
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
Cooperate 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
Requirements
US Citizenship
Active Top Secret SCI with Polygraph clearance
Minimum Bachelor's Degree
Expert level experience
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
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
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Tailored applications submitted
Demonstrated professional experience or academic experience in testing, evaluating, or validating the performance of AI systems (with a focus on LLM-based systems)
Demonstrated professional or academic experience in experiment design and execution to test the performance of LLMs 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 SQL to include using common table expressions, set operations, aggregated functions and nested subqueries
Demonstrated experience leveraging GPUs for accelerated computing
Demonstrated professional or academic experience with version control systems such as Github and Jenkins
Nice to have:
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)
Benefits
Medical, Dental, Vision, Health Savings Account and more
Paid Time Off
Holidays
Social Events
Employee Assistance Program
Team Building
401K
Tuition Assistance
Annual and Referral Bonuses
Important Details
Travel: Local travel/POV will be on an as needed basis, within the local place of performance
About the Company
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.
As an agile company with larger than life potential and a wide range of technical skills, Dezign Concepts maintains pinpoint precision while prioritizing customer and employee satisfaction.
