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Experience with any of the following Frameworks Spring, Django, R Shiny, Tensorflow, MXNetUnderstanding or Application of Machine Learning and / or Deep LearningExperience in a scientific environment.
$96,600 - $151,800 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Certification in GCP (e.g., Professional Cloud Architect, Professional Machine Learning Engineer). Design and Implementation: Architect and deploy scalable, high-performance ML and AI solutions on GCP, leveraging services like GCP Vertex AI, TensorFlow, and BigQuery.
$80 - $90 an hourExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Hands-on experience in different domains, like database architecture, artificial intelligence, machine learning, advanced analytics, big data, etc. Develop AI and Client pipelines in Databricks and different AWS services, including S3, EC2, API Gateway, Bedrock and Lambda.
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Experience with data visualization tools (e.g., Spotfire) and advanced analytics techniques (e.g., machine learning) is required. You will also work with scientists and with experts in data management, lab automation, molecular design, and machine learning in the Global Biologics organization to build and continuously improve data infrastructure.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
$81,000 - $128,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong computer vision and machine learning background and fluency in standard domain libraries (numpy, opencv, pytorch) Develop and evaluate machine learning and computer vision techniques for object detection and tracking.
$160,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology. Ph. D. degree in Computer Science, Machine Learning or a related field.
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We encourage individuals with high school teaching experience, ed-tech experience from start-ups to larger organizations, and those with direct experience in educational publishing to apply, among others whose creativity and/or expertise will lead to success in working with a team to develop teaching and learning strategies for digital learning, primarily in high school AP® and elective courses.
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Work with research informatics and data teams to deploy enterprise-level cheminformatics and machine learning solutions across the discovery and medicinal chemistry groups. This will include implementing machine learning methods for physicochemical property predictions as well as ADME/PK/tox endpoints.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Proactively problem solve, formulate problem statements and sets, derive them to manageable data collections and apply critical thinking to develop solutions.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence. Experience in supporting working capital management initiatives for large, global companies (e.g., decreasing DSO, optimizing DPO, optimizing inventory) and related financial solutions, e.g., supply chain finance & dynamic discounting.
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Collaboration: Collaborate closely with cross-functional teams, including bioinformatics, medicinal chemistry, biology, and machine learning, to integrate computational biology approaches into drug discovery projects.
$200,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We believe we are at the cusp of a nucleic acid medicine revolution powered by programmable medicines and machine learning. We are leveraging machine learning and fast iterative cycles with a world-class wet lab team to guide and improve the design of the next generation of delivery vehicles for nucleic acid therapeutics.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
$276,000 a yearExpandApply NowActive JobUpdated Today
machine learning spark jobs Title: solutions architect in Boston, MA
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