AI/ML DevOps Engineer (TS/SCI with Poly Required)

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 AI/ML DevOps Engineer, a typical day will include the following duties:

JOB DESCRIPTION

The AI/ML DevOps Engineer will be a member of a small team tasked with initiating an AI/ML initiative for the customer.  The ideal candidate will have a background in Dev Ops and in AI/ML Engineering that can develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn a set of data points into objective answers to help senior leadership make informed decisions. The candidate will apply build and maintain ci/cd pipelines. The candidate’s ability to support workflows used for advanced computerized models and extrapolation of data patterns through advanced algorithms will be an essential function to providing customers a better comprehension of the data.

The candidate will work closely with customer management, other 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.

KEY RESPONSIBILITES

• Develop and train Large Language Models (LLMs) in support of the customer mission
• Investigate business area processes for creative implementation of LLMs
• Knowledge of developing and securing containers
• Knowledge of creating and improving continuous deployment tools in a Kubernetes environment
• 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.

EDUCATION AND EXPERIENCE

• BS/BA in Software Engineering, Data Science, Mathematics, or similar OR equivalent combination of education and experience

REQUIRED QULIFICATIONS

• Familiarization with Large Language Model (LLM) architectures and training procedures
• Data Science frameworks such as Keras, Tensorflow, or PyTorch
• Proficient in Java, Python and NodeJS
• 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)
• Experience with Elasticsearch
• Experience with 3^rd party system integrations using API, webhooks, and other integration methods
• Interpersonal communication skills
• Ability to work well in a constantly evolving work environment

DESIRED QUALIFICATIONS

• Familiarity with Source code management and integration (ex - GitHub/GitLab, Jenkins)
• Hands on experience with cloud technology (AWS / C2S)
• Experience in an Agile environment
• Experience with testing frameworks (ex - Junit, Mockito, Swagger, Postman)
• Experience with Jenkins, Kubernetes, and Docker
• Experience with HTML/CSS/JavaScript
• Experience with Flask Application Development
• Proficiency with Graph databases (Janus/Cassandra) and graph query languages

*A candidate must be a US Citizen and able to obtain TS/SCI with Polygraph clearance. 

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans