*Active TS/SCI w/ FS Poly required prior to application
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.
Requirements
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 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)
· Experience with Elasticsearch
· 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
Benefits
Leading Path is an award-winning Information Technology and Management Consulting firm focused on providing solutions in process, technology, and operations to our government and Fortune 500 clients. We offer a professional and family friendly work environment with a strong work-life balance. Leading Path provides a comprehensive and competitive benefits package including fully paid medical/dental/vision premiums, generous PTO, 11 Paid Holidays, 6% 401K contribution, annual training and tuition reimbursement, SPOT Award bonuses, regular team events, opportunities for professional growth and advancement and much more!