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On any given day, you might:Evaluate open-source and internally-developed modeling and analytics tools using real business dataIntegrate internal data with external data sources and APIs to discover and implement actionable insightsDesign and craft data science models to communicate solutions to customers and company leadership We'd love to find someone who is.
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RAND is seeking open-source intelligence (OSINT) analysts who would like to use their technical and domain expertise to contribute to research on risks related to emerging technology, including AI, biotechnology, and cybersecurity.
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Harnham is partnered with a dynamic technical organization at the crossroads of semiconductor applications and machine learning. Lead Machine Learning Engineer - Semiconductor. Machine Learning | Semiconductor Manufacturing | AI | Electrical Engineering | Automation | MLOps | Java | C.
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In collaboration with the Senior Director of Clinical Services and Social-Emotional Learning and other OSS leaders, develop and implement programs that support students’ academic and social-emotional learning.
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Develop AI/ML models, knowledge graphs and NLP pipelines; incorporate computational strategies with graph-neural networks, deep learning, multimodal fusion, transformer models, transfer learning, contrastive learning as appropriate.
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Define, maintain, and support Java development environment and standard methodologies, such as Maven, Sonar, Bitbucket security and other Open Source tools. We encourage an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together.
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Preferred Qualifications:If you have the following characteristics, it would be a plus:Developing and deploying applications in a cloud environment like Google Cloud (preferred), AWS, AzureExperience in an open-source web framework preferably implemented in JS, TypeScript, Python, Java, Scala, or similar.
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Experience using Azure DevOps /GIT based source control systems. Document technical requirements and technical specifications for Web/Mobile applications (and related integrated solutions) and provide technical solutions to support those needs.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
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We are seeking a collaborative bioinformatics and machine learning scientist to join the Computational Design and Predictive Modeling team in Cambridge, MA. You will develop novel bioinformatics and machine learning solutions and apply them to next-generation sequencing (NGS) data to discover and characterize biotherapeutics.
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Perform other duties and responsibilities as assigned by the Superintendent/Deputy Superintendent, Executive Director of Social Emotional Learning/Assistant Director of Social-Emotional Leaning.
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Master’s degree in Data Science, Bioinformatics, Computational Biology, Machine Learning, Statistics, or a related field with 5+ years of experience (PhD preferred). Contribute to the design, development, and optimization of machine learning models.
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Interest in natural language processing (NLP), chatbot architecture, AI, and machine learning. Comfort defending your content decisions with executives, legal, and other partners, and can negotiate edits with diplomacy and an open mind.
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The Fabrication Manager, Teaching and Learning serves an important role in fostering an inclusive and supportive learning environment within the Science and Engineering. Fabrication Manager, Teaching and Learning.
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Strong knowledge of developing highly scalable distributed systems using Open-source technologies. Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required.
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learning open source jobs Title: technical in Somerville, MA
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