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Peerless Technologies Corporation

AI/ ML Software Engineer

Career Insights for Machine Learning Engineer

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What they do

A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.

$120,298 / year median in Ohio

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Job Description

Job Requirements Dayton, OH Top Secret/SCI Polygraph Unspecified Career Level not specified Salary not specified Join Premium to unlock estimated salaries Job Description Peerless is seeking an individual with a current TS/SCI clearance who is a highly skilled and motivated Artificial Intelligence (AI) and Machine Learning (ML) engineer. This position will develop discriminative and generative AI/ML models, coordinate with several key customers, develop both user interfaces and interfaces for the exchange of metadata as well as develop an automated process for the NASIC workforce to gain access to LLM models in coordination with the AI/ML Services Product Owner and SMEs. This is an in-person job in Dayton Ohio, relocation assistance possible. Key Responsibilities Develop discriminative and generative AI/ML models to directly support NASIC's analytic mission using resources in coordination with the AI/ML Services Product Owner, GTM, and SMEs Find discoveries focused on AI/ML model utilization, availability, and access and data utilization, availability, and access for AI/ML models. Develop user interfaces to enable the exchange of information directly related to AI/ML across NASIC via web applications.
Architecture, Documentation & Advisory:
CONOPS development, S tandard Operating Procedure development and creation, a uthor technical White Papers, p rovide strategic technical recommendations Required Qualifications Must be a US Citizen Active TS/SCI security clearance Possess and maintain IAT Level II (CompTIA Security+, etc.) certification or higher A working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) Experience in applying core Machine Learning methodologies: Regression, Classification, Clustering, Decision Trees, Dimensional Reduction, Neural Networks & Deep Learning, Feature Engineering Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, Statistics, or a related field Strong programming skills in at least one of the following languages Python, Matlab, C++ Experience with Machine Learning APIs, such as TensorFlow, PyTorch, or Keras Experience administering at least one of the primary VDI platforms (AVD, AWS Workspaces, Horizon) In person in Dayton Ohio-relocation assistance possible Excellent communication, collaboration, and problem-solving skills Motivation to learn new things in a dynamic environment Ability to work independently and take ownership of segments of a project group id: 10120350 Apply now

Benefits

  • Relocation Assistance