Gryphon Technologies
Description
Overview:
Gryphon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, 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.
Responsibilities:
One must have good written communication, interpersonal, problem-solving, analytical, mathematical, and organizational skills. Ability to follow directions is a must. Applicants must be able to work well alone and as part of a team. A Security Clearance or the ability to obtain one will be required. U.S. Citizenship required.
Gryphon Technologies is a premier engineering and technical services provider supporting National Security programs. Gryphon is the federal Government’s partner working in support of mission critical systems in every phase of their lifecycle. We are proud of our ability to help shape tomorrow, while ensuring today’s U.S. and coalition forces can carry out their critical missions and tasks.
Gryphon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, 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.
GENERAL DUTIES:
- Work with Sr. Data Scientists on Digital Engineering tasks including use of Natural Language Processing (NLP), Artificial Intelligence (AI), and Machine Learning (ML) methods, techniques, and tools. This includes technically working on multiple projects in a matrix environment while creating new programs and starting new projects.
- Work with AI and big data technologist/architect to explore new or assess known technology to solve specific natural language processing (NLP) related problems
- Collect and process data with hands-on work to explore, train or re-train models to solve domain specific problems and provide solution for our products
- Customize and optimize models with various techniques (quantization/binarization, pruning, etc) to reduce model size and computation cycles while keeping similar performance.
B.S. in Data Science or related field.
Experience with using NLP toolkits (e.g. NLTK, SpaCy) for labeling parts of speech, extracting patterns and other NLP tasks
Experience with using Python and R to create data visualizations
Experience with re-training and evaluating ML models
Experience with using SQL to compare data warehouse data with results from sourced- databases in order to create an authoritative source of truth
Experience in ingesting data with querying languages (eg. PL/SQL) into data warehouse and converting databases into a data warehouse
Experience with conducting data dependency mapping to determine a chain of impacts if a specific database fails or if data is manipulated and/or changed
Experience with creating instructional guides focused on importing data from various sources and in different formats into databases (e.g. Oracle databases) as well as generating reports from databases
Familiarity with project management tools including GitLab and Jira
Familiarity with ontology modeling (e.g. Protégé), linked data and triple stores
Knowledge of ML and cybersecurity
One must have good written communication, interpersonal, problem-solving, analytical, mathematical, and organizational skills. Ability to follow directions is a must. Applicants must be able to work well alone and as part of a team. A Security Clearance or the ability to obtain one will be required. U.S. Citizenship required.
Source ⇲
Remote Tech Jobs