139 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" uni jobs at Northeastern University in United States
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solutions, focusing on building robust data pipelines, creating efficient machine learning models, and integrating AI capabilities into existing systems to improve efficiency, accuracy, and service quality
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, the Institute for Experiential AI, the Khoury College of Computer Sciences, the College of Social Sciences and the Humanities, the College of Arts, Media and Design, and other units at Northeastern
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experience focused on safety and security, meaningful connections and a sense of belonging, high student satisfaction, inclusive communities, assessment of learning experiences, and innovation. The Director is
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health, and artificial intelligence; investigate AI applications for personalized music therapy and brain health interventions; and explore machine learning approaches to understanding musical cognition
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models. The role also requires significant experience in classical machine learning methods such as decision trees, gradient boosting machines, and both shallow and deep learning networks. A demonstrated
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 28-Dec-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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and written communication skills with a customer (internal and external) service focus Strong computer and IT skills, especially in MS Office suite products, and ability to learn new programs/systems
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engineering service offerings. Other necessary skills: MLOps Experience: Demonstrated experience in operationalizing and maintaining machine learning models in production environments, including deployment
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Compliance, and Pitchbook. Strong understanding of how to perform and present due diligence analysis. Familiarity with computer forensic tools. Understanding of export control regulations and trends in
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emphasis on applied machine learning, artificial intelligence and experiential network addressing the business challenges in the industry. Instructional areas include, but are not limited to, analytics, with