Job Description :
Primary responsibility of an AI Engineer is to solve computer vision tasks as part of an integrated team developing machine learning (ML) models and enabling ML Operations (MLOps) features for a diverse set of computer vision problems from material inspection to ISR tactical systems working on the edge.
Essential Functions :
- Development of ML models for computer vision applications
- Development of applied ML for edge systems on a team in an industry setting
- Familiar with common tools such as MLFlow, FiftyOne, Kubeflow, DVC
- Familiar with frameworks such as PyTorch, TensorFlow, TensorRT, etc
- Familiar with ML edge deployment formats such as ONNX
- Proficient in Python and able to learn and apply new technologies quickly
- Understands ontologies and the value they provide.
Qualifications :
- BS in computer science, physics, data science, optics, or a related field.
- BS and 4+ years. or MS and 2+ years, or a PhD.
- Experience solving an industry problem within a team
- Ability to obtain a Secret Clearance from the US Government which requires US Citizenship.
Preferred Additional Skills :
- Experience with SOC Devices such as NVIDIA Xavier, Orin
- Experience with real-time, image processing applications
- Experience with ML model development for infrared imagery
- Experience with C++ algorithm development
- Active Secret or Top Secret Clearance
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Primary responsibility of an AI Engineer is to solve computer vision tasks as part of an integrated team developing machine learning (ML) models and enabling ML Operations (MLOps) features for a diverse set of computer vision problems from material inspection to ISR tactical systems working on the e...
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Primary responsibility of an AI Engineer is to solve computer vision tasks as part of an integrated team developing machine learning (ML) models and enabling ML Operations (MLOps) features for a diverse set of computer vision problems from material inspection to ISR tactical systems working on the e...
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