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Peraton is seeking an Artificial Intelligence and Machine Learning (AI/ML) knowledgeable Mid-Career Systems Engineer. Data engineering and data lifecycle management. Bachelor's degree in an accredited engineering or related discipline and.
Experience in developing and training machine learning models, analyzing user feedback and interaction data, and collaborating with the NLP engineers and information retrieval SME. Python Libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Matplotlib, SciPy, FilterPy. As a Data Scientis
Data science / Machine Learning languages, to include Python. Data science / Machine Learning tools to include Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, SQL, FastAPI. In this position you will research, develop, and deliver algorithmic, machine learning, and artificial intelligence based approa
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The Department of Civil and Systems Engineering (CaSE)in the Whiting School of Engineering (WSE) at the Johns Hopkins University (JHU) is undergoing significant growth andinvites applications for faculty positions at all ranks in the area of data science and artificial intelligence (AI). We seek can
Familiarity with machine learning concepts such as classification, clustering, feature engineering, and model evaluation. Intern, Data Science & Artificial Intelligence. Our cross-industry solutions are powered by a digital-first mindset, market intelligence, and data-driven approach to deliver purp
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You will enhance data pipelines to ensure data integrity and optimize learning processes, all while collaborating with a talented team of data and analytics professionals. Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients.
Serves as a partner with the University Data Warehouse (UDW) team to help optimize data processes via the data architecture for ILLD by defining business requirements and performing user acceptance testing to increase efficiency and effectiveness of the divisions' reporting needs. Analyst will engag
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Knowledge of various machine learning techniques like clustering, decision trees, and neural networks. Create custom data models and algorithms applicable to data sets. Analyze and mine data from company databases to improve product development and marketing strategies.
We are seeking highly motivated PhD graduates in Electrical Engineering (EE), Electrical and Computer Engineering (ECE), Computer Science (CS), Physics, or a similar technical degree. Learn and creatively apply machine learning, signal processing, and data science to real-world problems that no one
Key job responsibilities include designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, developing and deploying machine learning models and generative AI applications that solve real-world business problems, collaborating with customer stakeholde