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Expertise in machine learning, statistical modeling, data visualization, and familiarity with big data technologies and cloud platforms including AWS, Azure, or Google Cloud. This pivotal role involves crafting and driving a comprehensive strategy for advanced analytics, aligned with the organization's goals, and developing a roadmap for implementing innovative analytics and machine learning initiatives.
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Experience in leading edge areas such as Machine Learning and Deep Learning, ML libraries/tools is a plus. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.
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Experience with container-based deployments using Docker and Kubernetes is a plus. 12-15 years of work experience with a Bachelors Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD.
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Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of machine learning. Advise customer’s technologists and business leads; help them to explore the art of the possible with machine learning, and to develop scalable ML solutions on AWS to deliver business value in the most effective way.
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As an Artificial Intelligence Intern, you will be part of pioneering projects involving machine learning, natural language processing, computer vision, and more. As an Artificial Intelligence Intern, you will be part of pioneering projects involving machine learning, natural language processing, computer vision, and more.
$4,000 a monthInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with machine learning and DevOps is also beneficial but not required. They are dedicated to transforming the music industry with cutting-edge technology solutions, and we're looking for a Full Stack Engineer to join this dynamic team.
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Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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Significant experience managing large programs for the Department of Defense, specifically in one or more of ELSYS Laboratory’s core technical competencies: Electronic Warfare, Systems Engineering, Test & Evaluation, technology insertion, open systems architectures, Machine Learning Ops/DevSecOps/agile software development.
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Experience with Artificial Intelligence or other machine learning tools would be a plus. Strong understanding of information security principles, practices, and technologies, including network security, application security, cloud security and endpoint security.
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As a Data Scientist within Manhattan Associate’s Global R&D organization, you will contribute to the research, evolution, innovation, and productionalization of advanced analytic methods, Data Science, Artificial Intelligence and Machine Learning capabilities across our industry leading Supply Chain solutions.
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Experience working business intelligence tools (PowerBI, Google Looker), machine learning, and creating dashboard. Education assistance opportunities and free LinkedIn Learning access.
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1+ years of experience in machine learning techniques such as classification, regression, decision trees, neural nets, large language models, recommender systems, natural language processing, clustering, anomaly detection, sequential pattern discovery, text mining, and familiar with the latest trends and applications of generative AI.
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This company is looking for a Lead Machine Learning Engineer who can lead the development and implementation of the analytics platform. This company is looking for a Lead Machine Learning Engineer who can lead the development and implementation of the analytics platform.
$140,000 - $170,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Significant experience managing large programs for the Department of Defense, specifically in one or more of Laboratories core technical competencies: Electronic Warfare, Systems Engineering, Test & Evaluation, technology insertion, open systems architectures, Machine Learning Ops/DevSecOps/agile software development.
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As a part of our team, you will be crafting machine learning solutions to help steer the direction of the entire company’s Data Science and Machine Learning effort. Core to the role, you will have passion and motivation for all things Data Science and Machine Learning, whilst appreciating that learning is a key part of the role, just as is the confidence to suggest recommendations and effectively communicate results to diverse groups and stakeholders.
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