About this opportunity
Peerless Technologies lists this AI/ ML Software Engineer opportunity in dayton, Ohio. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Career Opportunities with Peerless Technologies
A great place to work.
Current job opportunities are posted here as they become available.
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
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Worksite address
dayton, OH, 45444, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.