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About the Opportunity JOB SUMMARY The Sr Machine Learning (ML) Engineer applies expertise in deploying and scaling AI pipelines across at least one major cloud platform (AWS, GCP, or Azure
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on computational biology and bioinformatics, guiding the conceptualization and completion of analyses, data preprocessing and development of machine learning models, etc. There will be opportunities to co-author
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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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working on the same project, and 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
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faculty position to teach in the Master or Professional Studies Applied Machine Intelligence, located on-ground and or online in Boston, MA. The College of Professional Studies is one of ten colleges
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biology, or bioinformatics with a heavy focus on machine learning and AI model training and development by the appointment start date. (PhD is preferred) About 1 year of research or work experience in
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for a part-time faculty position to teach Applied Machine Intelligence courses offered within the Master of Professional Studies Analytics program, located on-ground in Vancouver, Canada. Responsibilities
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combinations of theoretical physics, mathematics, and machine learning. While machine experience is not a strict requirement for the job, we anticipate that the strongest candidates will have clear research
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for a part-time faculty position to teach Applied Machine Intelligence courses offered within the Master of Professional Studies Analytics program, located on-ground in Toronto, Canada. Responsibilities
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for a part-time faculty position to teach Applied Machine Intelligence courses offered within the Master of Professional Studies Analytics program, located on-ground in Vancouver, Canada. Responsibilities