AI/ML DevOps Engineer (2026-0064)

Acclaim Technical Services•Chantilly, VA

About The Position

Acclaim Technical Services, founded in 2000, is a leading language, operations, and technology services company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow. We are actively hiring an AI/ML DevOps Engineer with TS/SCI clearance and polygraph to join our team working in Northern Virginia. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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

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