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Company

Armada · 7 hours ago

AI Engineer (DoD)

United States

Full-time

Remote

Mid Level

$110K/yr - $135K/yr

3+ years exp

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Artificial Intelligence (AI)Cloud Computing

Senior Management

No H1B

U.S. Citizen Only

Security Clearance Required

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Responsibilities

Coding, data wrangling, data processing and visualization in a Command and Control (C2) environment

Develop and maintain data-driven software solutions to support business needs

Develop and implement Digital Signal Processing (DSP), Artificial Intelligence (AI), machine learning (ML), and Deep Learning (DL) models/tools to improve business processes. In some cases, leverage existing algorithms from academic or industrial research.

Testing, evaluating the AI/ML/DL models, benchmarking their quality, and publishing the models, data sets, and evaluations.

Deploying the models in production by containerizing the models.

Translating business requirements into requirements for AI/ML/DL models.

Working with customers and internal employees to refine the quality of the models.

Establishing continuous learning pipelines for models with online learning or transfer learning.

Building and deploying containerized applications on the cloud or on-premise environments

Qualification

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Digital Signal ProcessingMachine LearningDeep LearningReal-time Computer VisionPythonJavaC/C++Natural Language ProcessingTransformersContainerizationKubernetesStatistical Machine LearningReinforcement LearningTransfer LearningPyTorchTensorFlow

Required

BS or MS degree in electrical and computer engineering, computer science, mathematics, or a related technical field (or equivalent experience).

3+ years of experience in software development with strong programming skills in Python, Java, and/or C/C++.

Familiarity with containers, numeric libraries, and modular software design.

Hands-on expertise with both traditional statistical machine learning techniques and deep learning, including natural language processing models.

Expertise in supervised, unsupervised, and transfer learning techniques.

Extensive experience with machine learning algorithms and state-of-the-art deep neural network architectures (e.g., Transformers, CNN, R-CNN, RNN, BERT, GAN, autoencoders), and proficiency in developing or using major deep learning frameworks (e.g., PyTorch, TensorFlow).

Proven experience in applying machine learning to solve real-world problems.

U.S. citizen with an active DOD Secret security clearance or willingness to undergo the security clearance process.