Data Engineer- AI/ML Engineer

1 month ago

Warrenton, United States GCI, Inc. Full time

GCI, embodies excellence, integrity and professionalism. The employees supporting our customers deliver unique, high-value mission solutions while effectively leverage the technological expertise of our valued workforce to meet critical mission requirements in the areas of Data Analytics and Software Development, Engineering, Targeting and Analysis, Operations, Training, and Cyber Operations. We maximize opportunities for success by building and maintaining trusted and reliable partnerships with our customers and industry.

At GCI, we solve the hard problems.  As a Data Engineer - AI/ML Engineer, a typical day will include the following duties:

JOB DESCRIPTION

The Data Engineer will be a member of a team tasked with utilizing AI/ML solutions to better optimize data within our environment.  The ideal Data Engineer will have a background in AI/ML Engineering that is familiar with AI/ML solutions and has experience leveraging AI/ML to better optimize data. The Data Engineer will apply data mining techniques perform statistical analysis and build high-quality prediction models. The Data Engineer’s ability to obtain data through advanced computerized models and extrapolation of data patterns through advanced algorithms to explain how the information will influence the specific project will be an essential function to providing customers a better comprehension of the data.
This candidate will work closely with customer management, project managers, system architects, data scientists, data engineers, and machine learning engineers to formulate recommendations for enhancements and improvements geared towards utilizing innovative engineering solutions.

QUALIFICATIONS

  • BS/BA in Software Engineering, Science, Mathematics, or related technical discipline, or the equivalent combination of education, technical training, or work/military experience
  • A minimum of five (5) years of related experience data engineering experience

 

REQUIRED KNOWLEDGE/SKILLS

  • Experience with Large Language Model (LLM) architectures and training procedures
  • Knowledgeable of cloud solutions (ex – Databricks, Snowflake, etc.)
  • Big Data Frameworks such as Spark or Hadoop
  • Data Science frameworks such as Keras, Tensorflow, or Theano
  • Experience with building querying ontologies such as Zeno, OWL, RDF, SparQL
  • Experience with GPU processing of data using Python or Java
  • Experience with word2vec or doc2vec algorithms
  • Skilled in Java and Python
  • Must know to use an IDE to code (ex – Visual Studio Code, IntelliJ, Eclipse, NetBeans)
  • Experience with interacting in a Linux environment (ex - Bash scripting, VI)
  • Intrapersonal communication skills
  • Ability to work well in a constantly evolving work environment

 

DESIRED KNOWLEDGE/SKILLS

  • Familiarity with Source code management and integration (ex - GitHub/GitLab, Jenkins)
  • Experience with search architecture tools (ex - Solr, ElasticSearch)
  • Hands on experience with cloud technology (AWS / C2S)
  • Experience in an Agile environment
  • Experience with testing frameworks (ex - Junit, Mockito, Swagger, Postman)
  • Experience with relational databases (ex - Oracle / MySql)
  • Experience with JavaScript / Typescript
  • Experience with front end development (ex - Angular 2+, React, HTML, CSS, JQuery)

 

KEY RESPONSIBILITIES

  •  Develop and train Large Language Models (LLMs) in support of the customer mission
  •  Investigate business area processes for creative implementation of LLMs
  •  Apply data mining techniques to perform statistical analysis
  • Assists with technical planning activities, including roadmap development and systems integration
  • Collaborates with a variety of customers and contractors on a regular basis, which may include technical consultation, meeting coordination and support (e.g., TEMs), and preparation/support of technical briefings
  • Participates in the development of technical project plans, reports, and contract (e.g., PMR) briefings
  • Look for new capabilities for our data and data platform

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