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Ai/Ml Devops Engineer - Ts/Sci W/Poly Required

Leading Path ConsultingChantilly, VA

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Overview

Schedule
Full-time
Career level
Senior-level
Benefits
Health Insurance
Dental Insurance
Vision Insurance

Job Description

*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!

Automate your job search with Sonara.

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FAQs About Ai/Ml Devops Engineer - Ts/Sci W/Poly Required Jobs at Leading Path Consulting

What is the work location for this position at Leading Path Consulting?
This job at Leading Path Consulting is located in Chantilly, VA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Leading Path Consulting?
Employer has not shared pay details for this role.
What employment applies to this position at Leading Path Consulting?
Leading Path Consulting lists this role as a Full-time position.
What experience level is required for this role at Leading Path Consulting?
Leading Path Consulting is looking for a candidate with "Senior-level" experience level.
What benefits are offered by Leading Path Consulting for this role?
Leading Path Consulting offers following benefits: Health Insurance, Dental Insurance, Vision Insurance, Paid Holidays, Paid Vacation, Career Development, 401k Matching/Retirement Savings, Tuition/Education Assistance, and Health & Wellness Programs for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Leading Path Consulting?
You can apply for this role at Leading Path Consulting either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.