124 machine-learning "https:" "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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computer skills, including the Microsoft Office suite of products and internet research. Key Responsibilities Prospect Identification Develop and oversee execution of ongoing screening schedule
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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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demonstrable background in machine learning including published work. Must have demonstrable experience in building AI models for directed evolution of proteins and protein function prediction and optimization
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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
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-year residential students. This position serves as a vital member of the Residential Life team, creating positive and valuable experiential learning opportunities that aid students in their academic
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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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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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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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collaborate with academic and industry partners of EAI. Minimum Qualifications: An MS in computer science with a heavy focus on machine learning and LLM-RAG construction and development by the appointment start