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Expected Qualifications: Demonstrated knowledge and teaching experience in at least one of the following areas: Statistics, Data Analytics, Data Visualization with different tools, Python, Data Management & SQL, Data Engineering, R Programming, and/or Machine Learning.
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As an ML Engineer, you will lead the development and deployment of innovative approaches to optimize existing and new machine learning systems, unlocking their full potential to drive maximum business value.
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Familiarity with modern deep learning architectures including CNN, RNN, Transformer, GCNN and MPNN, and machine learning paradigms such as generative models, GAN, and active learning.
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Support existing HR applications including Oracle EBS HCM, iCIMS/Avature, Saba, Fuse Learning, SplashBI and functional groups which require monitoring, delegation, and the resolution of support tickets.
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Artificial intelligence, pathology, digital pathology, oncology, immuno-oncology, auto immune disease, neurodegenerative disease, improving medicine, companion diagnostics, precision medicine, solutions, R&D, computational pathology, predictive, deep learning, and software engineering.
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Assess current delivery of K-12 school social emotional learning practices, curriculum and resources in BPS by working with the OHW evaluation team. Lead the development and implementation of a comprehensive K-12 Tier 1 social emotional learning plan for the district.
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Develop, deploy and support industry-leading machine learning solutions, aimed at solving client problems across industry verticals and business functions. Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks.
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This person will have a hands-on role implementing software solutions needed for those business solutions, leveraging AI and machine learning to identify inefficiencies and opportunities for automation, and overseeing third party consultants to ensure relevant projects are completed on time and within budget.
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Sr. AWS Cloud Engineer w/ Machine Learning Ops. Your ability to understand and adapt to changing business priorities and technology advancements in Big data and Data Science ecosystem. You are familiar with applied data science methods, feature engineering and machine learning algorithms.
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Advances in bigchemical data, massive computing power, artificial intelligence, andmolecular dynamics simulation are changing the way we develop newdrugs.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
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We're seeking a Learning Innovation Senior Manager to redefine BCG's learning experience and technology ecosystem. Role Title: Global L&D Learning Innovation Senior Manager ( 1 open role.
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National Express Shuttle (operated by WeDriveU) and Transitisa business unit of global mobility provider MobicoGroup. Education: Bachelor’s Degree in Business Administration, Human Resources, or related fieldpreferred.
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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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business learning jobs Title: project manager in Boston, Mililani-town, Hawaii
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