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Über
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 3rd 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
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Sprachkenntnisse
- English
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